TMRC3 Data Analysis: 202103

1 Introduction

This document is intended to provide an overview of TMRC3 samples which have been sequenced. It includes some plots and analyses showing the relationships among the samples as well as some differential analyses when possible.

2 Annotation

We take the annotation data from ensembl’s biomart instance. The genome which was used to map the data was hg38 revision 100. My default when using biomart is to load the data from 1 year before the current date.

hs_annot <- sm(load_biomart_annotations(year = "2020"))
hs_annot <- hs_annot[["annotation"]]
hs_annot[["transcript"]] <- paste0(rownames(hs_annot), ".", hs_annot[["version"]])
rownames(hs_annot) <- make.names(hs_annot[["ensembl_gene_id"]], unique = TRUE)
tx_gene_map <- hs_annot[, c("transcript", "ensembl_gene_id")]

hs_go <- sm(load_biomart_go()[["go"]])
hs_length <- hs_annot[, c("ensembl_gene_id", "cds_length")]
colnames(hs_length) <- c("ID", "length")

3 Sample Estimation

3.1 Generate expressionsets

The sample sheet is copied from our shared online sheet and updated with each release of sequencing data.

samplesheet <- "sample_sheets/tmrc3_samples_202103.xlsx"

3.1.1 Hisat2 expressionsets

The first thing to note is the large range in coverage. There are multiple samples with coverage which is too low to use. These will be removed shortly.

In the following block I immediately exclude any non-coding reads as well.

hs_expt <- sm(create_expt(samplesheet,
                          file_column = "hg38100hisatfile",
                          savefile = glue::glue("hs_expt_all-v{ver}.rda"),
                          gene_info = hs_annot))

## The following filter excludes any non-coding RNA features from the data.
hs_expt <- exclude_genes_expt(hs_expt, column = "gene_biotype",
                              method = "keep", pattern = "protein_coding")

## Before removal, there were 21481 entries.

## Now there are 19928 entries.

## Percent of the counts kept after filtering: 99.600, 99.714, 99.759, 99.397, 99.540, 99.552, 99.928, 99.876, 99.938, 99.867, 79.229, 99.946, 99.860, 99.873, 92.600, 85.708, 99.880, 99.952, 99.900, 99.852, 99.961, 99.862, 99.946, 99.845, 99.954, 98.239, 99.837, 99.951, 89.738, 99.830, 99.951, 99.843, 99.855, 99.953, 99.915, 91.997, 99.882, 99.933, 99.863, 94.990, 92.874, 99.874, 99.948, 99.904, 97.076, 99.876, 99.955, 99.900, 99.881, 99.927, 99.801, 99.879, 99.953, 99.893, 99.899, 99.947, 99.908, 99.888, 99.941, 99.782, 80.330, 99.891, 99.941, 99.926, 99.905, 99.948, 99.883, 73.317, 99.812, 99.904, 99.865, 99.913, 99.888, 99.924, 99.847, 99.898, 99.904, 99.869, 99.895, 99.928, 99.811, 99.891, 99.935, 99.830, 99.894, 99.944, 99.811, 89.882, 86.953, 92.560, 93.354, 83.616, 88.383, 94.220, 91.439, 93.996, 92.838, 80.268, 95.899, 93.052, 93.651, 95.931, 90.869, 98.763, 98.397, 97.735, 99.166, 89.231

## There are 11 samples which kept less than 90 percent counts.

## Error in summary_table[pct_kept, warning_idx]: subscript out of bounds

3.1.1.1 Initial metrics

Once the data was loaded, there are a couple of metrics which may be plotted immediately.

nonzero <- plot_nonzero(hs_expt)
nonzero$plot

## Warning: ggrepel: 78 unlabeled data points (too many overlaps). Consider
## increasing max.overlaps

3.2 Minimum coverage sample filtering

I arbitrarily chose 11,000 non-zero genes as a minimum. We may want this to be higher.

hs_valid <- subset_expt(hs_expt, nonzero = 11000)

## The samples (and read coverage) removed when filtering 11000 non-zero genes are:

## TMRC30010 TMRC30050 TMRC30052 
##     52523    808936   3088284

## There were 108, now there are 105 samples.

valid_write <- sm(write_expt(hs_valid, excel = glue("excel/hs_valid-v{ver}.xlsx")))

## Error in summary_table[pct_kept, warning_idx] : subscript out of bounds

plot_boxplot(hs_valid)

## This data will benefit from being displayed on the log scale.

## If this is not desired, set scale='raw'

## Some entries are 0.  We are on log scale, adding 1 to the data.

## Changed 613146 zero count features.

plot_libsize(hs_valid)$plot

## The scale difference between the smallest and largest
## libraries is > 10. Assuming a log10 scale is better, set scale = FALSE if not.

4 Project Aims

The project seeks to determine the relationship of the innate immune response and inflammatory signaling to the clinical outcome of antileishmanial drug treatment. We will test the hypothesis that the profile of innate immune cell activation and their dynamics through the course of treatment differ between CL patients with prospectively determined therapeutic cure or failure.

This will be achieved through the characterization of the in vivo dynamics of blood-derived monocyte, neutrophil and eosinophil transcriptome before, during and at the end of treatment in CL patients. Cell-type specific transcriptomes, composite signatures and time-response expression profiles will be contrasted among patients with therapeutic cure or failure.

4.1 Preparation

To address these, I added to the end of the sample sheet columns named ‘condition’, ‘batch’, ‘donor’, and ‘time’. These are filled in with shorthand values according to the above.

4.2 Global view

Before addressing the questions explicitly by subsetting the data, I want to get a look at the samples as they are.

hs_valid <- hs_valid %>%
  set_expt_batches(fact = "cellssource") %>%
  set_expt_conditions(fact = "typeofcells") %>%
  set_expt_samplenames(newnames = pData(hs_valid)[["samplename"]])

all_norm <- sm(normalize_expt(hs_valid, transform = "log2", norm = "quant",
                              convert = "cpm", filter = TRUE))

all_pca <- plot_pca(all_norm, plot_labels = FALSE, plot_title = TRUE)

## Not putting labels on the PC plot.

pp(file = glue("images/tmrc3_pca_nolabels-v{ver}.pdf"), image = all_pca$plot)

## Writing the image to: images/tmrc3_pca_nolabels-v202103.pdf and calling dev.off().

knitr::kable(all_pca$table)

	sampleid	condition	batch	batch_int	colors	labels	PC1	PC2	pc_1	pc_2	pc_3	pc_4	pc_5	pc_6	pc_7	pc_8	pc_9	pc_10	pc_11	pc_12	pc_13	pc_14	pc_15	pc_16	pc_17	pc_18	pc_19	pc_20	pc_21	pc_22	pc_23	pc_24	pc_25	pc_26	pc_27	pc_28	pc_29	pc_30	pc_31	pc_32	pc_33	pc_34	pc_35	pc_36	pc_37	pc_38	pc_39	pc_40	pc_41	pc_42	pc_43	pc_44	pc_45	pc_46	pc_47	pc_48	pc_49	pc_50	pc_51	pc_52	pc_53	pc_54	pc_55	pc_56	pc_57	pc_58	pc_59	pc_60	pc_61	pc_62	pc_63	pc_64	pc_65	pc_66	pc_67	pc_68	pc_69	pc_70	pc_71	pc_72	pc_73	pc_74	pc_75	pc_76	pc_77	pc_78	pc_79	pc_80	pc_81	pc_82	pc_83	pc_84	pc_85	pc_86	pc_87	pc_88	pc_89	pc_90	pc_91	pc_92	pc_93	pc_94	pc_95	pc_96	pc_97	pc_98	pc_99	pc_100	pc_101	pc_102	pc_103	pc_104
1010-2	1010-2	PBMCs	H. sapiens	1	#1B9E77	1010-2	-0.0156	-0.0532	-0.0156	-0.0532	-0.1164	-0.1289	0.0906	-0.2637	0.1462	-0.0926	0.0722	0.0022	-0.0316	0.0265	-0.0498	0.0135	-0.0467	0.0158	-0.0022	0.0259	-0.0612	0.0151	0.0283	-0.0648	-0.0487	-0.0392	0.0861	0.0860	-0.1729	0.2866	-0.0602	0.0454	-0.0573	0.0589	-0.1343	0.1054	-0.0359	0.0420	-0.0296	0.0677	-0.0119	-0.0865	-0.0121	0.2360	-0.1057	-0.1242	0.1446	0.0961	0.0446	-0.1316	0.0732	0.0072	0.0151	0.0127	0.1318	-0.0090	-0.0014	-0.0990	-0.0258	0.0157	0.0752	0.0732	0.0459	0.0851	0.0004	-0.1740	-0.1285	-0.0039	0.0395	0.0485	0.0853	0.0533	0.0670	-0.0356	-0.0136	-0.0149	-0.0439	-0.0057	-0.0853	-0.0632	-0.0191	0.0366	0.0844	0.0330	0.0210	0.0256	0.0688	0.0154	0.1031	-0.0763	-0.0396	-0.0021	-0.0738	-0.0870	-0.1583	-0.2497	0.0141	0.0505	0.2171	0.4255	-0.0155	-0.0349	-0.0753	-0.0088	-0.0194	-0.0049
1010-7	1010-7	PBMCs	H. sapiens	1	#1B9E77	1010-7	-0.0213	-0.0553	-0.0213	-0.0553	-0.1180	-0.1273	0.1437	-0.2442	0.1297	0.0376	0.0447	-0.0405	-0.0121	0.0665	0.0116	-0.0306	0.0109	-0.0204	0.0024	0.0470	-0.0544	0.0535	0.0164	0.0519	-0.0173	-0.0572	0.1139	0.0345	-0.0118	0.0443	0.0763	-0.0465	-0.0250	0.1326	0.0117	0.0366	-0.0032	0.0784	0.0866	-0.0322	0.0737	-0.0406	-0.0530	-0.0248	-0.0077	-0.2859	0.0495	0.1032	-0.0074	-0.0856	0.0306	0.0471	-0.0103	0.0152	0.0967	-0.0300	-0.0306	-0.0700	-0.0082	0.0309	-0.0412	0.0074	-0.0487	0.0100	-0.0187	-0.0512	0.0066	-0.0359	0.0588	-0.0019	-0.0520	-0.0399	-0.0149	-0.0325	-0.0425	0.0049	-0.0058	0.0030	0.0198	0.0004	-0.0182	-0.0640	-0.1413	-0.0812	0.0849	0.0025	-0.2653	0.0534	-0.2335	0.3780	-0.0353	-0.1808	0.2672	0.3404	0.1917	0.1518	-0.1045	-0.0941	-0.0560	-0.0923	0.0162	0.0201	0.0030	0.0014	0.0111	0.0068
1010-12	1010-12	PBMCs	H. sapiens	1	#1B9E77	1010-12	-0.0216	-0.0558	-0.0216	-0.0558	-0.1249	-0.1254	0.1052	-0.2533	0.1763	0.1248	0.0147	-0.0697	-0.0491	0.1120	0.0142	-0.0098	0.0367	0.0032	-0.0229	0.0540	-0.0379	0.0508	0.0068	0.0982	0.0097	-0.0458	0.1141	-0.0084	0.0453	-0.0732	0.0976	-0.0597	0.0065	0.1679	0.0984	0.0147	0.0528	0.0812	0.1001	-0.0635	0.1430	-0.0650	-0.0956	-0.1675	0.1121	-0.3202	0.0065	0.1217	-0.0682	-0.0276	0.0179	0.0601	0.0112	-0.0016	0.0310	-0.0229	-0.0132	0.0272	-0.0362	0.0096	-0.0370	0.0255	0.0066	-0.0337	-0.0607	0.0339	-0.0079	-0.0516	-0.0425	-0.0447	-0.0155	-0.0063	-0.0642	0.0140	0.0021	0.0164	-0.0528	-0.0246	-0.0190	0.0517	0.0190	0.0417	0.0652	0.0983	-0.0990	0.0140	0.1928	-0.0716	0.1465	-0.3234	0.0930	0.1701	-0.1682	-0.2272	-0.0539	0.1066	0.1055	0.0728	-0.1310	-0.3176	-0.0191	0.0161	0.0712	-0.0019	0.0044	-0.0119
1011-2	1011-2	PBMCs	H. sapiens	1	#1B9E77	1011-2	-0.0136	-0.0519	-0.0136	-0.0519	-0.1157	-0.1252	0.0912	-0.2806	0.1438	-0.0823	0.0803	0.0405	-0.0219	-0.0284	-0.0274	0.0534	-0.0665	0.0371	0.0430	-0.0566	0.0497	-0.0581	0.0160	-0.0975	0.0216	0.0415	-0.0797	0.0083	-0.0438	0.1117	-0.1054	0.0833	0.0093	-0.1573	-0.1440	0.0388	-0.1002	-0.0535	-0.1128	0.0931	-0.1385	0.0049	0.0697	0.1945	-0.1308	0.3321	0.0126	-0.1128	0.0588	0.0169	-0.0228	-0.0356	0.0031	-0.0015	-0.0090	0.0053	0.0368	-0.0326	-0.0326	-0.0131	0.0300	0.0283	0.0301	0.0419	0.0354	-0.0981	-0.0244	0.0266	0.0039	0.0681	0.0294	0.0153	0.0774	-0.0122	0.0060	-0.0059	0.0147	-0.0024	0.0239	-0.0045	-0.0385	0.0859	-0.0081	0.0105	-0.0611	-0.0084	0.0478	0.0986	0.0015	-0.1619	-0.0899	0.1456	-0.1340	0.2504	0.1866	0.2633	0.0935	-0.0580	-0.2090	-0.3375	-0.0060	0.0182	0.0774	0.0043	0.0069	0.0110
1011-7	1011-7	PBMCs	H. sapiens	1	#1B9E77	1011-7	-0.0173	-0.0499	-0.0173	-0.0499	-0.1388	-0.1220	0.0844	-0.3011	0.2176	0.0237	0.0450	-0.0264	-0.0738	0.0302	-0.0116	0.0603	-0.0205	0.0232	0.0295	-0.0344	0.0423	-0.0300	0.0184	0.0005	0.0584	0.0289	-0.0644	-0.0443	0.0835	-0.0914	0.0053	0.0845	0.0285	-0.1063	-0.0178	-0.0249	-0.0150	-0.0827	-0.0381	0.0016	-0.0569	0.0420	0.0122	-0.0181	-0.0089	0.2511	-0.0305	-0.1114	0.0416	0.0670	-0.0652	-0.0617	-0.0129	-0.0101	-0.0837	0.0864	0.0499	0.0728	0.0128	-0.0315	0.0007	-0.0372	-0.0107	-0.0472	0.0829	0.0765	0.0564	0.0322	0.0027	-0.0237	0.0830	-0.0077	0.0009	-0.0307	-0.0388	-0.0304	0.0147	-0.0240	-0.0081	-0.0374	0.1148	-0.0614	0.0465	-0.0033	0.0845	0.0611	-0.0821	-0.1628	-0.0290	0.2621	0.2943	-0.2201	0.2080	-0.4432	-0.2110	-0.1114	-0.0730	0.0047	-0.0234	-0.0980	0.0059	0.0244	-0.0031	0.0012	0.0047	-0.0123
1011-12	1011-12	PBMCs	H. sapiens	1	#1B9E77	1011-12	-0.0223	-0.0548	-0.0223	-0.0548	-0.1295	-0.1228	0.0732	-0.2676	0.2069	0.1009	0.0285	-0.0377	-0.0368	0.0526	0.0475	0.0374	0.0170	0.0009	0.0400	-0.0539	0.0472	-0.0388	0.0224	0.0478	0.0860	0.0691	-0.0478	-0.0675	0.1715	-0.2469	0.0692	0.0128	0.0724	-0.0540	0.1051	-0.0796	-0.0120	-0.0395	0.0306	-0.0326	-0.0154	0.0524	-0.0162	-0.2046	0.1049	0.1175	-0.1553	-0.0799	-0.0564	0.1202	-0.0660	-0.0121	-0.0170	-0.0339	-0.1114	-0.0266	-0.0188	0.1140	0.0165	0.0306	-0.0660	-0.0613	-0.0257	-0.0523	-0.0018	0.1434	0.1008	0.0060	-0.0677	0.0058	-0.0653	-0.0300	-0.0282	0.0569	0.0370	0.0155	0.0512	0.0347	0.0623	0.0583	-0.0674	-0.0017	-0.0601	-0.0084	-0.0129	-0.0699	0.0481	0.0702	0.0096	-0.0864	-0.2346	0.0935	-0.1144	0.2754	0.0764	-0.1273	-0.0018	0.0221	0.2014	0.4337	0.0143	-0.0440	-0.0731	0.0077	-0.0062	0.0141
1017n1	1017n1	Neutrophils	H. sapiens	1	#D95F02	1017n1	-0.1172	0.1238	-0.1172	0.1238	0.1148	-0.0047	0.0846	-0.0193	0.0110	-0.0907	-0.0248	0.2419	0.1062	-0.0972	-0.0219	0.0347	-0.2714	0.1396	-0.1181	0.1485	0.0356	-0.1331	-0.0270	0.2946	0.3216	0.1348	-0.2744	0.2906	-0.1337	-0.0801	0.2721	-0.1644	0.0493	0.2543	-0.2177	0.0863	0.0545	-0.1441	-0.0208	-0.0413	0.0462	-0.0709	-0.0939	0.0160	0.0720	0.0516	-0.1064	-0.0306	-0.0320	0.0033	0.0149	0.0595	0.0222	0.0702	0.0136	-0.0112	0.0067	0.0096	0.0460	0.0283	0.0309	0.0058	0.0338	-0.0150	0.0026	-0.0541	-0.0047	0.0307	0.0008	-0.0171	0.0359	0.0141	0.0119	0.0015	-0.0073	-0.0241	-0.0060	-0.0099	-0.0147	0.0093	0.0082	-0.0117	-0.0070	0.0140	0.0153	0.0177	-0.0062	0.0013	0.0018	-0.0104	0.0001	-0.0127	0.0088	0.0049	0.0013	-0.0038	0.0034	-0.0024	0.0027	0.0018	-0.0022	0.0018	0.0003	-0.0013	-0.0014	0.0007
1017m1	1017m1	Monocytes	H. sapiens	1	#7570B3	1017m1	-0.0378	-0.0988	-0.0378	-0.0988	-0.0233	-0.1197	0.0821	0.0129	-0.0209	-0.2018	0.0535	0.1765	0.0672	-0.0846	-0.0324	-0.0207	-0.0891	-0.0320	-0.0415	0.0427	0.0721	0.0078	-0.0154	-0.1810	-0.0468	-0.0293	-0.0638	0.0401	-0.0035	-0.0177	-0.1373	-0.0850	-0.0708	0.0708	-0.0360	-0.0218	-0.1773	-0.0464	-0.0379	0.0126	0.0918	0.0737	-0.0373	0.0638	-0.0797	-0.0134	0.0821	0.0317	0.0670	-0.0891	0.0091	-0.0128	0.0055	-0.0598	-0.0746	-0.0578	-0.0897	-0.1516	0.2371	-0.1029	0.0780	-0.0487	-0.2272	-0.1330	-0.1070	0.4477	-0.1296	-0.1024	-0.1277	-0.0619	-0.3247	-0.0838	-0.1671	0.0689	0.0756	0.1177	-0.0543	-0.0338	0.0617	-0.0463	-0.0276	-0.0095	0.0434	-0.0399	-0.1402	-0.0676	0.0068	0.0766	0.0205	-0.0161	0.0373	0.0455	0.1094	-0.0694	-0.0126	0.0343	-0.0610	0.0700	0.0290	0.0157	0.0152	-0.0115	0.0238	0.0040	0.0214	-0.0111
1034n1	1034n1	Neutrophils	H. sapiens	1	#D95F02	1034n1	-0.1191	0.1193	-0.1191	0.1193	0.1146	0.0048	0.0248	-0.0171	-0.0296	-0.1774	0.0888	0.1192	0.0104	0.0007	0.2025	0.1939	-0.0502	0.1164	0.0459	0.1161	0.0320	-0.0376	-0.0832	0.1636	-0.0698	0.1044	0.1170	-0.1560	0.0384	-0.0101	0.1474	-0.0437	0.1682	-0.1554	0.0634	-0.0538	0.1290	0.2503	0.0423	0.1859	-0.1782	0.0354	-0.0689	0.0897	-0.0177	-0.1648	0.2175	0.0254	0.2772	0.0572	-0.3505	-0.0106	0.0810	-0.3032	-0.1344	0.0724	-0.0949	0.0662	0.0502	0.0365	0.0495	-0.0959	0.0334	0.0044	-0.0308	0.0050	-0.0402	-0.0530	0.0225	0.0370	0.0233	0.0481	0.0243	0.0182	-0.0009	0.0002	-0.0640	0.0054	-0.0171	-0.0014	-0.0028	-0.0117	-0.0160	-0.0098	-0.0175	0.0138	0.0038	0.0031	-0.0030	-0.0077	0.0034	-0.0011	-0.0050	0.0097	-0.0029	-0.0011	0.0047	-0.0003	-0.0126	-0.0015	-0.0013	-0.0040	-0.0047	-0.0026	-0.0024	0.0032
1034bp1	1034bp1	Biopsy	H. sapiens	1	#E7298A	1034bp1	0.1310	0.0477	0.1310	0.0477	-0.0082	-0.0258	-0.2192	-0.0347	0.0192	-0.0109	0.1326	0.1319	-0.0018	-0.1228	0.0427	-0.0836	0.1378	0.1177	-0.0155	-0.0396	0.1415	0.0143	-0.0261	-0.0299	0.0916	-0.0167	0.0541	-0.0477	-0.0374	-0.1471	-0.0046	0.0915	-0.1344	0.0214	0.0508	-0.0052	0.0954	-0.0503	-0.0080	-0.0840	-0.0509	-0.1019	-0.1130	-0.1476	-0.0969	0.0447	-0.0301	-0.0304	0.0202	0.0192	-0.0448	0.0948	0.1389	-0.1593	0.4012	0.3306	0.1722	-0.0671	0.1178	0.0390	0.1496	-0.0105	-0.3228	0.2674	0.0732	-0.0972	0.0288	-0.0512	0.0844	-0.0375	-0.0328	0.0177	-0.1739	-0.0653	0.0674	-0.0366	-0.0154	0.0635	-0.0186	-0.0147	0.0393	-0.0063	0.0195	-0.0260	-0.0213	0.0290	0.0216	0.0017	-0.0469	-0.0345	0.0022	0.0343	-0.0061	0.0195	0.0097	0.0026	-0.0051	0.0271	0.0211	0.0027	-0.0073	-0.0187	0.0076	0.0136	-0.0122	-0.0100
1034n2	1034n2	Neutrophils	H. sapiens	1	#D95F02	1034n2	-0.1179	0.1258	-0.1179	0.1258	0.1335	-0.0020	0.0017	-0.0358	-0.0004	-0.1906	0.0895	0.1218	-0.0386	0.0237	0.2087	0.2853	0.0750	0.0825	0.2084	0.1838	-0.0203	0.0073	0.0025	0.1490	-0.1902	0.1623	0.1363	-0.2690	0.1710	0.0706	-0.0944	0.0830	0.0215	0.1156	-0.0597	0.1123	0.2558	-0.1137	-0.0183	-0.2011	0.1866	0.1882	0.0853	-0.0066	-0.0990	0.1144	-0.0803	0.0577	-0.1197	-0.0103	0.3140	-0.0684	-0.0264	0.0987	0.0741	-0.0768	0.0462	-0.1186	-0.0297	-0.0625	-0.0418	0.0646	-0.0169	0.0085	0.0571	0.0349	0.0360	-0.0220	-0.0148	-0.0020	-0.0208	-0.0177	0.0249	0.0193	0.0405	-0.0135	0.0287	0.0195	-0.0040	0.0110	-0.0003	0.0170	0.0032	0.0081	0.0084	-0.0185	0.0118	-0.0038	-0.0238	-0.0097	-0.0066	-0.0082	-0.0070	-0.0080	0.0042	-0.0006	-0.0137	-0.0066	-0.0041	0.0026	0.0051	0.0015	-0.0036	0.0064	-0.0014	0.0018
1034m2	1034m2	Monocytes	H. sapiens	1	#7570B3	1034m2	-0.0360	-0.0986	-0.0360	-0.0986	0.0059	-0.1054	0.0870	0.0420	-0.0949	-0.2632	0.1354	0.1271	0.1135	-0.0815	0.1149	0.0320	-0.0409	-0.0324	-0.0755	0.0266	0.0850	-0.0330	0.0144	-0.2686	-0.0879	0.0019	0.0176	-0.0199	-0.0371	-0.0850	-0.1076	-0.0655	0.0532	0.0483	0.1377	0.0139	-0.0627	-0.0354	-0.0554	0.0988	-0.0610	-0.1167	0.0094	-0.1796	0.1177	-0.0313	-0.0340	-0.0340	-0.0895	0.0117	0.0209	0.0682	0.0171	0.0617	-0.0142	-0.0649	0.1309	0.1166	-0.1083	0.0096	-0.0384	-0.0007	0.1457	0.0193	-0.0401	-0.1105	-0.0228	0.0063	0.0945	-0.0084	0.0931	-0.0479	-0.0189	-0.0595	-0.0545	0.0365	-0.0137	0.0115	-0.0927	0.0608	0.1072	0.1443	-0.0143	0.3330	-0.2572	-0.0961	-0.0326	-0.3590	-0.1600	0.0430	-0.1939	-0.0138	0.1037	0.0412	-0.0911	-0.0250	-0.0222	0.0130	0.0167	-0.0228	0.0296	0.0140	-0.0087	-0.0070	0.0037	-0.0055
1034m2-	1034m2-	Monocytes	H. sapiens	1	#7570B3	1034m2-	-0.0396	-0.0929	-0.0396	-0.0929	-0.0021	-0.0983	0.0950	0.0345	-0.0884	-0.2599	0.1352	0.1497	0.1028	-0.0590	0.1470	0.0350	-0.0284	-0.1112	-0.0231	-0.0091	0.0684	-0.0753	0.0288	-0.2443	-0.0530	0.0438	0.0210	-0.0011	-0.0467	-0.0750	-0.0966	-0.0352	0.0783	0.0977	0.1692	-0.0403	-0.1228	0.0011	-0.0011	-0.0196	-0.0706	-0.0463	-0.0030	-0.1263	0.1096	-0.0959	-0.0237	-0.0419	-0.1096	0.0479	0.0088	0.0534	-0.0508	0.0884	0.0104	-0.0231	0.0325	0.1441	-0.1041	0.0511	-0.0074	0.0378	0.0258	0.0533	-0.0157	-0.1279	0.0441	0.0414	-0.0304	0.0082	0.0414	0.0761	0.0359	0.0010	0.0179	-0.0503	0.0166	-0.0161	0.0928	0.0080	-0.0972	-0.1815	0.0409	-0.3413	0.3524	0.1090	0.0226	0.2737	0.1817	0.0071	0.1596	-0.0607	-0.1491	-0.1029	0.0838	0.0554	0.0072	-0.0341	-0.0246	0.0141	-0.0270	0.0130	-0.0099	0.0054	0.0164	0.0109
2050bp1	2050bp1	Biopsy	H. sapiens	1	#E7298A	2050bp1	0.1107	0.0147	0.1107	0.0147	-0.0153	-0.0278	-0.2067	-0.1359	0.0083	-0.1332	-0.2398	-0.0012	0.0232	0.1872	0.0643	-0.0156	-0.1232	-0.2015	-0.0578	0.2379	-0.0666	0.0202	0.0056	-0.0916	-0.0636	-0.0096	0.0196	0.0211	-0.1477	-0.0073	-0.0105	-0.1135	-0.0817	-0.1464	-0.0652	-0.3003	0.1997	-0.1090	0.0084	0.1089	0.0579	-0.0100	0.0829	0.0520	0.0967	-0.1688	-0.2814	-0.1888	0.0644	0.1502	0.0532	-0.1396	0.1042	-0.0434	0.0925	0.0488	-0.0539	-0.1088	-0.0349	0.0050	0.0682	0.0325	0.1188	0.1126	-0.0611	0.1792	0.0167	0.1965	0.0438	-0.0417	-0.0217	-0.0699	0.1115	-0.1295	0.0271	-0.0450	-0.0724	0.1185	-0.0276	-0.0397	0.0458	-0.0437	0.0623	-0.0396	-0.0096	-0.0518	-0.0502	0.0130	-0.0267	-0.0317	0.0275	0.0219	-0.0049	0.0069	0.0188	0.0228	0.0210	-0.0075	-0.0064	-0.0087	0.0044	0.0137	-0.0384	0.0098	-0.0049	0.0034
2052bp1	2052bp1	Biopsy	H. sapiens	1	#E7298A	2052bp1	0.1307	0.0571	0.1307	0.0571	-0.0164	-0.0255	-0.2232	-0.0299	0.0325	0.0583	0.1706	0.1462	-0.0392	-0.0534	-0.0641	-0.0639	0.1352	0.0248	-0.0143	0.0382	-0.0076	0.0473	-0.1130	0.0131	0.0169	-0.0645	0.1033	0.0351	-0.2107	-0.1903	-0.0558	0.1731	-0.0692	0.1523	-0.0007	0.0454	0.1476	0.1149	-0.0772	0.0991	-0.0909	-0.0116	-0.0661	0.2172	0.1602	-0.0135	0.0227	-0.0504	-0.1582	-0.0842	0.0846	-0.2996	0.1260	0.0206	-0.1375	-0.0663	0.1081	0.1409	0.2184	-0.1718	-0.1596	-0.1258	0.2333	0.0047	-0.0582	-0.0123	0.1106	-0.1273	-0.2377	0.0304	-0.0343	-0.0451	0.0114	-0.0227	-0.0804	0.0132	0.0102	-0.0285	-0.0052	-0.0926	-0.1212	-0.0550	-0.0463	0.0115	0.0322	0.0484	0.0442	0.0170	-0.0699	0.0280	-0.0196	-0.0026	-0.0001	0.0049	-0.0041	0.0148	-0.0001	0.0080	-0.0078	-0.0188	-0.0177	-0.0080	-0.0098	-0.0092	-0.0045	0.0035
2052e1	2052e1	Eosinophils	H. sapiens	1	#66A61E	2052e1	-0.0914	0.0242	-0.0914	0.0242	-0.1834	0.1340	-0.0075	0.0165	-0.0242	0.0557	0.0032	-0.1231	0.0207	0.0286	-0.1660	-0.1246	-0.0308	0.1769	-0.0653	0.2515	0.1246	0.0629	-0.0183	-0.0187	-0.0289	-0.0037	-0.0478	-0.1524	0.2584	-0.1422	-0.0287	-0.1398	-0.0609	-0.0119	0.0121	-0.0138	0.1092	-0.0054	-0.1630	0.2692	-0.2458	0.2065	-0.0945	0.0763	0.1341	0.0384	-0.0151	0.0560	-0.2643	-0.0212	0.1037	0.2434	-0.0040	-0.0218	-0.0036	-0.0941	-0.1118	-0.0599	-0.0033	-0.1218	0.1607	0.1276	-0.0573	0.0345	-0.1012	-0.1683	-0.1299	0.0621	-0.0036	0.0259	-0.0957	0.0756	0.0239	-0.0946	-0.0335	0.0506	-0.1308	-0.0141	0.0202	-0.0060	-0.0361	0.0436	0.0184	-0.0343	0.0749	0.0231	-0.0168	0.0453	-0.0213	0.0186	-0.0015	0.0109	0.0436	-0.0098	-0.0456	-0.0432	0.0365	0.0010	0.0134	-0.0218	0.0210	0.0056	0.0069	0.0310	0.0196	0.0091
2052m2	2052m2	Monocytes	H. sapiens	1	#7570B3	2052m2	-0.0381	-0.0863	-0.0381	-0.0863	-0.0098	-0.1347	0.0724	0.0695	-0.0897	-0.0082	0.0491	-0.1131	0.0892	0.0640	-0.1743	-0.2774	0.0786	-0.0219	0.0248	0.1050	-0.0287	-0.0827	-0.0651	0.3366	0.0085	0.3184	-0.0371	-0.4607	-0.4526	-0.0237	-0.0682	0.0085	-0.0012	-0.1304	0.0443	-0.0064	-0.2261	-0.0968	-0.1185	0.0014	0.0727	-0.0351	0.0036	-0.1120	-0.0421	-0.0354	0.0338	0.0007	-0.0088	-0.0096	0.0675	0.0297	0.0148	-0.0234	-0.0292	0.0069	-0.0255	0.0045	0.0195	0.0465	0.0109	-0.0287	0.0112	-0.0076	0.0457	0.0260	0.0076	-0.0003	-0.0171	0.0055	0.0393	-0.0411	0.0077	-0.0313	-0.0413	-0.0076	-0.0270	-0.0143	-0.0245	-0.0264	0.0188	0.0163	-0.0064	-0.0222	0.0039	0.0036	0.0082	0.0085	0.0020	-0.0012	-0.0074	-0.0161	-0.0009	0.0064	-0.0131	0.0044	0.0006	0.0073	0.0025	0.0021	0.0023	0.0014	0.0070	-0.0026	0.0035	-0.0016
2052n2	2052n2	Neutrophils	H. sapiens	1	#D95F02	2052n2	-0.1150	0.1260	-0.1150	0.1260	0.1275	-0.0083	0.0231	-0.0098	-0.0140	0.0127	0.0298	-0.1139	0.0170	0.0896	-0.1425	-0.2025	0.1299	0.0328	0.3945	0.2334	0.0369	-0.5539	-0.0677	-0.2424	0.1858	-0.3143	0.0368	0.0700	-0.0159	0.0283	0.0534	-0.0591	0.1739	-0.0731	0.1010	0.0597	0.0842	0.0019	-0.0694	-0.0158	0.1126	0.0017	-0.0340	-0.0345	-0.0892	0.0012	0.0056	0.0344	0.0666	0.0199	0.0359	-0.0624	-0.0502	-0.0016	0.0263	0.0138	0.0053	0.0390	0.0035	-0.0705	0.0113	-0.0330	0.0165	-0.0032	-0.0231	0.0103	-0.0230	-0.0167	0.0194	0.0164	-0.0273	-0.0036	0.0082	0.0075	-0.0119	-0.0208	0.0157	0.0280	0.0248	0.0218	-0.0080	-0.0135	0.0105	0.0086	-0.0031	0.0077	0.0044	-0.0077	-0.0010	-0.0002	-0.0112	-0.0120	-0.0079	0.0009	-0.0048	-0.0051	-0.0041	-0.0023	-0.0068	0.0021	0.0096	-0.0039	0.0022	-0.0037	0.0004	-0.0004
2052m3	2052m3	Monocytes	H. sapiens	1	#7570B3	2052m3	-0.0372	-0.0855	-0.0372	-0.0855	-0.0022	-0.1368	0.0018	0.0768	-0.0524	-0.0024	0.0495	-0.1208	0.0598	0.0438	-0.1254	-0.1419	0.0468	-0.0270	0.0620	0.0541	0.0197	0.0001	-0.0077	0.0470	-0.0715	0.1885	-0.0530	-0.0115	0.0220	0.0533	0.0211	0.0688	-0.0229	0.1416	-0.1116	0.0086	0.0864	0.1028	0.2502	-0.0386	-0.2147	-0.0469	0.0920	0.1972	0.0585	0.0249	0.0280	-0.0445	0.0111	0.1305	-0.1327	-0.1095	-0.0366	0.1347	0.0954	-0.0363	0.1531	0.0437	-0.0520	-0.1133	-0.0237	0.0784	-0.1170	-0.0430	-0.2341	-0.0010	-0.0338	0.0356	0.0991	-0.0451	-0.0871	0.0635	-0.0419	0.1088	0.1972	-0.0557	0.1007	0.2840	0.1495	0.3606	-0.0617	-0.1652	0.0367	0.0854	-0.0981	0.0123	-0.0193	-0.1195	0.0394	0.0563	0.0513	0.0031	-0.0349	-0.0606	0.0641	0.0117	-0.0101	-0.0340	-0.0690	0.0727	0.0418	-0.0103	0.0120	0.0006	-0.0281	0.0062
2052n3	2052n3	Neutrophils	H. sapiens	1	#D95F02	2052n3	-0.1103	0.1349	-0.1103	0.1349	0.1193	-0.0145	-0.0188	-0.0004	0.0082	0.0021	0.0222	-0.1117	0.0065	-0.0069	-0.0937	-0.0736	0.1096	-0.0493	0.2250	0.1007	0.0517	-0.0488	0.0128	-0.1010	-0.1024	0.0811	-0.0350	0.0550	0.0709	0.0054	-0.0284	0.0408	-0.1601	0.2039	-0.1824	-0.0975	-0.0971	-0.0693	0.1750	-0.0356	-0.2010	-0.0129	0.1124	0.0591	0.2128	-0.0055	0.0424	-0.0210	-0.1407	-0.0929	-0.1326	0.0702	0.2010	-0.1613	-0.0700	-0.0354	0.0797	-0.1133	-0.1034	0.3148	-0.1265	0.0023	-0.0895	-0.0845	0.0433	0.1499	0.1369	-0.0127	0.0236	-0.0261	0.1870	0.0094	-0.0064	-0.0046	0.0947	0.0884	0.0264	-0.1594	-0.2054	-0.2250	0.1189	0.1142	-0.0120	-0.0163	0.0611	-0.0197	0.0051	0.0212	0.0309	-0.0289	0.0209	0.0188	0.0243	0.0307	0.0335	0.0214	-0.0052	0.0058	0.0181	-0.0065	-0.0243	0.0119	-0.0098	-0.0067	-0.0036	-0.0024
2065m1	2065m1	Monocytes	H. sapiens	1	#7570B3	2065m1	-0.0322	-0.1118	-0.0322	-0.1118	-0.0091	-0.1282	-0.0820	0.1061	-0.0097	0.1880	-0.0627	-0.1406	-0.0796	-0.0442	0.1839	0.1972	-0.0275	0.0575	0.0382	0.1144	0.0632	0.0296	0.0046	-0.0138	0.1236	-0.0492	-0.0401	-0.0358	-0.1308	0.0725	-0.0200	0.0415	0.0932	-0.0017	0.0292	0.1075	0.0754	-0.0988	0.0022	0.0757	-0.1933	-0.1690	0.0986	-0.0833	0.0530	-0.0530	0.0061	0.0211	0.0183	-0.0911	-0.0190	0.0977	-0.0400	0.1070	0.0526	-0.0271	-0.0731	0.0419	0.0079	-0.0050	0.0310	0.0773	-0.0192	0.0203	0.1075	0.0438	0.1021	-0.0224	-0.0768	-0.1340	-0.1548	0.0297	0.1447	0.0705	0.1464	0.1511	0.0973	-0.0437	0.0772	-0.2856	-0.1207	0.0090	0.1636	-0.1253	-0.3162	0.0974	-0.1595	-0.0002	-0.0497	0.1146	-0.0582	-0.0211	-0.1909	-0.0615	0.0138	-0.1430	0.0021	-0.1436	-0.1142	-0.0274	0.0181	-0.0483	-0.0306	0.0011	-0.0106	0.0072
2065n1	2065n1	Neutrophils	H. sapiens	1	#D95F02	2065n1	-0.0987	0.1088	-0.0987	0.1088	0.0997	-0.0378	-0.0494	0.0010	0.0164	0.1450	-0.0024	-0.2015	-0.0138	-0.0841	0.1332	-0.0199	0.0052	-0.0567	-0.1422	-0.0897	0.1323	0.0243	-0.0638	-0.2451	-0.0979	0.1418	0.1251	-0.0845	-0.1225	-0.0388	0.1684	0.0085	0.2172	0.0575	-0.1489	-0.0065	-0.0196	0.0200	0.0231	0.0515	0.0842	0.0163	-0.2668	0.0152	0.0301	0.0434	-0.0556	-0.0068	0.0157	-0.0002	-0.0508	0.0338	-0.0659	0.1938	-0.0658	0.0398	-0.0935	-0.2217	0.0776	-0.0724	0.0660	-0.0792	0.0328	0.0495	0.0238	-0.0353	-0.0519	-0.0295	-0.0419	-0.0339	-0.0157	-0.0637	0.0100	0.0681	0.1269	-0.0332	0.1887	0.1201	0.0562	-0.1253	0.1791	0.1182	0.1286	0.1993	0.2798	-0.0488	0.0822	0.0223	0.0225	0.1510	0.0204	0.1490	-0.0130	0.0591	-0.0809	0.0923	0.0017	0.0234	-0.0221	0.0162	-0.0140	0.0051	-0.0167	0.0009	-0.0098	0.0053
2065bp1	2065bp1	Biopsy	H. sapiens	1	#E7298A	2065bp1	0.1260	0.0439	0.1260	0.0439	0.0167	-0.0194	-0.2344	0.0749	0.0773	0.0996	0.1941	0.2340	-0.2832	0.1639	0.0321	-0.1142	-0.0436	-0.1793	-0.0238	0.1386	0.0675	0.0627	0.0316	0.0088	0.0813	0.0162	0.1136	-0.0183	0.0100	0.1662	0.2405	-0.0757	0.0368	0.1338	0.0728	0.0450	-0.2038	0.0039	-0.0623	0.1927	0.0475	0.2440	0.2154	-0.1546	0.0205	0.0652	0.0610	-0.2306	0.1268	-0.1168	0.0114	-0.0275	-0.0889	0.0650	-0.0761	0.0600	-0.0141	-0.0568	-0.0604	-0.0149	-0.0696	0.1669	-0.0844	0.0411	-0.0971	-0.0250	-0.0693	0.0027	0.1058	-0.0759	0.0949	0.0513	-0.0422	0.0899	0.0123	0.1009	0.0517	-0.1033	0.0341	0.0603	-0.0494	0.0631	-0.1053	0.0201	0.0180	0.0387	0.0196	-0.0029	-0.0075	0.0029	-0.0134	0.0125	0.0047	-0.0240	0.0017	-0.0085	0.0051	0.0045	0.0044	0.0062	-0.0009	0.0071	-0.0124	0.0064	-0.0126	0.0038
2066m1	2066m1	Monocytes	H. sapiens	1	#7570B3	2066m1	-0.0316	-0.1080	-0.0316	-0.1080	-0.0165	-0.1315	-0.0337	0.1057	-0.0065	-0.0197	0.0008	-0.0373	0.0084	-0.0523	-0.1005	0.0181	-0.0488	0.0479	0.0288	-0.0858	0.0414	-0.0690	0.0000	0.0168	-0.0127	0.0903	-0.0831	0.0286	0.1845	-0.0810	-0.0195	0.0419	-0.0965	-0.0898	-0.1826	-0.1112	0.0093	0.1518	0.0915	0.0987	0.2602	0.0653	0.0427	-0.1076	-0.0696	-0.0933	0.0209	-0.0371	-0.0117	-0.0755	0.0266	-0.0390	-0.0286	0.0116	0.0173	0.0456	0.0423	0.0345	0.1710	-0.0531	0.0220	0.0090	0.1038	0.0444	-0.1745	-0.0556	-0.1379	0.0000	0.0443	0.0671	0.1350	0.0872	0.0341	0.0527	0.0880	-0.0680	0.1464	-0.0282	0.0973	-0.2829	-0.0722	0.0601	0.0892	-0.2979	0.0708	-0.0372	0.0746	-0.4030	-0.0202	-0.1064	-0.0013	-0.1422	-0.0369	0.1383	0.0954	-0.1232	-0.0388	0.0515	0.0517	-0.1049	-0.0457	0.0094	0.0097	0.0071	0.0032	-0.0058
2066n1	2066n1	Neutrophils	H. sapiens	1	#D95F02	2066n1	-0.1171	0.1133	-0.1171	0.1133	0.1013	-0.0143	0.0025	-0.0097	0.0211	0.0039	-0.0039	-0.0219	0.0083	-0.0490	-0.0607	0.0059	-0.1344	0.0210	-0.0130	-0.0304	0.1046	-0.1048	-0.1026	0.0136	-0.0425	0.0785	-0.0563	0.1039	0.0822	-0.0540	-0.0093	0.0630	-0.1194	-0.1752	-0.0467	-0.2052	-0.1277	0.2091	0.1295	0.0918	0.0248	0.0682	0.2054	-0.0788	-0.0899	-0.1393	0.0222	-0.0055	-0.0475	-0.2034	0.0697	0.0123	-0.0338	0.0497	0.0084	0.0988	0.1168	-0.0380	0.0350	0.0332	-0.1211	0.1987	0.0979	0.1054	0.3956	-0.1384	0.0637	0.0784	-0.2413	-0.0773	-0.2703	-0.0963	-0.0060	0.0572	-0.1161	0.0725	-0.0727	0.0964	-0.0328	0.1559	0.0385	-0.0794	-0.0616	0.0646	-0.0306	0.0012	0.0728	0.0104	0.0331	0.1183	0.0296	0.0963	-0.0355	-0.0221	-0.0447	-0.0186	0.0064	-0.0049	-0.0177	0.0139	0.0346	0.0019	0.0068	0.0052	0.0118	-0.0060
2066bp1	2066bp1	Biopsy	H. sapiens	1	#E7298A	2066bp1	0.1287	0.0550	0.1287	0.0550	0.0000	-0.0301	-0.1766	-0.0606	-0.0493	0.0596	0.1158	0.1588	-0.0447	0.0090	-0.0377	-0.0395	0.1016	0.1494	0.0200	-0.1214	0.1918	0.0042	-0.1413	-0.0162	0.0548	0.0300	-0.1704	-0.0378	0.0501	0.0096	-0.0595	0.0920	-0.0329	0.1370	0.0288	-0.0635	0.0056	0.2950	-0.0814	0.0535	0.1585	-0.1537	0.1103	0.1141	-0.2485	-0.0806	-0.1103	0.1057	-0.0916	0.2384	0.0222	0.1507	-0.0612	0.0496	-0.0849	-0.0534	-0.1492	-0.0655	-0.2342	0.1593	0.2249	-0.1448	0.0779	-0.1218	0.0136	0.1116	0.0255	0.0623	0.0291	-0.1699	0.0762	-0.0751	0.1850	-0.0854	0.0441	0.1375	0.0320	-0.0572	0.0438	0.0715	-0.0366	-0.0334	-0.0056	0.0397	0.0028	-0.0039	-0.0303	-0.0071	0.0287	0.0321	0.0065	-0.0014	0.0206	-0.0171	0.0086	-0.0042	0.0041	0.0107	-0.0246	0.0165	-0.0015	0.0038	-0.0084	-0.0023	0.0047	0.0031
2065m2	2065m2	Monocytes	H. sapiens	1	#7570B3	2065m2	-0.0377	-0.1175	-0.0377	-0.1175	-0.0130	-0.1149	-0.0601	0.1344	0.0183	0.1789	-0.1213	-0.0388	-0.0397	-0.0973	0.0973	0.2187	-0.0655	-0.0088	0.0788	0.1286	0.0658	0.0488	-0.0010	-0.0576	0.1699	-0.0635	-0.0690	-0.0317	-0.1007	0.1258	-0.1651	0.0870	-0.0026	0.0902	0.0189	0.0503	-0.0260	-0.1032	-0.0356	0.0601	-0.1389	0.0028	0.0867	0.0274	0.0069	-0.0865	0.0192	0.0941	0.0687	-0.0398	0.0085	0.0246	-0.0585	-0.0668	0.0415	0.0358	-0.1394	0.0755	0.0735	-0.0946	0.0684	0.0305	-0.0747	-0.0815	0.0641	0.0685	0.2803	0.0362	-0.0206	-0.0347	0.0045	0.0504	0.0451	-0.0606	-0.0844	-0.0808	-0.0927	0.0597	0.0214	0.1969	0.0473	0.0177	-0.1632	0.0500	0.3358	-0.1143	0.2032	-0.2501	0.0084	-0.1443	0.0801	-0.0415	0.1437	0.1329	0.0386	0.0785	-0.0162	0.1720	0.0839	-0.0012	-0.0442	0.0199	0.0126	0.0080	0.0119	-0.0206
2065n2	2065n2	Neutrophils	H. sapiens	1	#D95F02	2065n2	-0.1083	0.1169	-0.1083	0.1169	0.1023	-0.0215	-0.0449	0.0097	0.0669	0.1741	-0.0881	-0.0908	0.0123	-0.1094	0.0086	-0.0353	-0.0083	-0.0911	-0.0663	-0.0750	0.0992	0.0823	0.0894	-0.2700	0.0087	0.1386	-0.0500	-0.1293	-0.0269	0.0481	-0.0591	0.0552	0.1533	0.2030	-0.2293	0.0789	0.0196	-0.1344	0.0284	0.0354	0.1309	0.1372	-0.1308	0.0068	-0.0328	-0.0896	0.0022	-0.0298	-0.0209	0.1487	0.0162	-0.1072	-0.1854	-0.3605	-0.0555	0.0695	0.0337	0.0690	-0.0494	0.0573	-0.0615	-0.0425	0.0325	0.0038	0.0402	-0.1445	-0.0983	0.1011	-0.0127	0.0132	-0.0448	-0.0880	-0.0691	-0.0870	-0.1706	-0.0241	-0.0592	-0.0754	-0.0277	0.1221	-0.1657	-0.1018	-0.0851	-0.1415	-0.2516	0.0608	-0.1144	0.0227	-0.0016	-0.1034	-0.0221	-0.0828	0.0290	-0.0534	0.0284	-0.0557	0.0127	-0.0112	0.0133	-0.0171	0.0103	-0.0062	0.0134	-0.0027	0.0077	-0.0029
2066m2	2066m2	Monocytes	H. sapiens	1	#7570B3	2066m2	-0.0344	-0.1032	-0.0344	-0.1032	-0.0160	-0.1244	-0.0322	0.0982	0.0004	0.1751	-0.0731	-0.0828	-0.0310	-0.1369	0.0935	0.1448	-0.0300	0.0329	0.0456	0.1203	0.1188	-0.0073	-0.0517	0.0013	0.0628	0.0303	-0.1477	-0.0069	0.0681	-0.0593	-0.1171	0.0014	-0.0853	-0.0062	-0.0346	-0.1369	-0.0490	0.0942	0.1260	0.0715	0.1241	-0.0010	0.1661	-0.0997	-0.0761	-0.0155	0.0235	0.0265	0.0277	-0.0503	0.0483	-0.0569	0.0179	0.0830	0.0854	0.0223	0.0168	0.1014	0.0907	-0.1215	0.0314	-0.1137	0.1005	-0.0333	-0.1906	-0.0003	-0.0695	-0.0810	0.1439	0.2137	0.2063	0.0935	-0.1180	-0.0390	-0.0199	-0.1621	-0.0544	-0.0299	-0.1587	-0.0111	0.0615	0.0307	-0.0558	0.2075	-0.0565	0.0401	-0.1251	0.4702	-0.0387	0.0293	-0.0202	0.0729	0.0302	-0.1038	-0.0864	0.0846	0.0199	-0.0846	0.0097	0.0416	0.0091	0.0003	0.0160	-0.0132	-0.0178	0.0009
2068m1	2068m1	Monocytes	H. sapiens	1	#7570B3	2068m1	-0.0332	-0.1138	-0.0332	-0.1138	-0.0200	-0.1350	-0.0736	0.1157	-0.0031	0.1520	-0.1423	0.1075	-0.0938	-0.0259	0.0789	0.1437	0.0510	0.1590	0.0679	0.0336	-0.0805	-0.0373	0.0572	0.0085	-0.0057	-0.0663	0.0575	0.0327	-0.0574	0.0090	0.0881	-0.0050	-0.0122	-0.1315	-0.0268	-0.0694	-0.0972	0.0077	-0.0523	-0.0716	-0.1277	-0.0282	-0.0734	0.0773	-0.0001	0.0223	0.0362	-0.1448	-0.1476	0.0088	0.1907	0.1878	0.1377	-0.0568	-0.0031	-0.0164	0.0181	0.0121	-0.1203	0.1416	-0.2355	-0.2374	-0.0157	0.1031	-0.1125	0.0114	-0.3806	-0.0501	0.0764	-0.0655	-0.1253	-0.2818	0.1137	0.1947	-0.0594	-0.1536	0.0266	-0.0326	-0.0143	0.1216	0.0934	-0.0858	-0.0386	-0.0427	0.0296	-0.0123	0.1347	-0.0184	0.0491	0.0196	0.0375	0.0059	0.0570	0.0073	0.0185	-0.0661	-0.0326	-0.0520	-0.0055	-0.0265	-0.0299	0.0113	-0.0249	0.0112	-0.0110	-0.0004
2068n1	2068n1	Neutrophils	H. sapiens	1	#D95F02	2068n1	-0.1122	0.1036	-0.1122	0.1036	0.0819	-0.0256	-0.0330	-0.0204	0.0599	0.1402	-0.1124	0.0814	-0.0204	-0.0500	-0.0146	-0.0519	-0.0530	0.0644	-0.1779	-0.0877	-0.0440	-0.0591	0.1459	-0.1249	-0.1008	0.0907	0.0031	-0.0181	-0.1133	-0.0313	0.0640	-0.0584	0.1290	-0.1316	0.1132	-0.0098	0.0726	0.1544	0.0327	-0.0565	0.0184	0.0497	-0.0252	0.0954	-0.1401	0.0421	0.0322	0.0236	0.0664	-0.0624	0.1386	0.1640	0.3414	0.0408	0.0134	-0.1545	0.1433	0.1175	-0.0447	-0.0860	0.0277	0.2856	-0.1144	-0.1150	-0.1652	0.1267	0.2390	-0.0066	0.1125	-0.0052	-0.0073	0.0391	-0.0231	-0.2051	-0.2143	-0.0154	0.2753	-0.0607	-0.0554	-0.0273	-0.0184	-0.0320	-0.0762	-0.0866	-0.0639	-0.0209	0.0129	-0.0119	0.0815	0.0085	0.0186	0.0324	0.0078	0.0086	-0.0187	-0.0123	0.0024	-0.0291	0.0104	0.0070	-0.0173	-0.0036	-0.0048	0.0066	0.0022	0.0062
2068e1	2068e1	Eosinophils	H. sapiens	1	#66A61E	2068e1	-0.0880	0.0244	-0.0880	0.0244	-0.1855	0.1179	-0.0198	0.0265	-0.0188	0.1430	-0.0914	0.0951	-0.0292	-0.0481	0.1194	0.0255	0.0529	-0.0084	0.0152	-0.0800	-0.0494	-0.1290	0.1240	-0.0565	-0.0746	0.1198	0.0517	-0.0286	-0.0362	-0.1058	0.0839	-0.1564	0.0315	-0.0296	-0.0701	-0.0061	-0.0137	0.0570	-0.2367	-0.0858	0.0124	-0.1062	0.1840	0.0484	-0.0327	-0.0160	0.0269	0.1331	-0.0177	-0.0468	-0.0655	-0.2357	-0.0462	0.0715	0.0759	-0.0667	0.1224	0.0004	0.0383	0.1890	-0.0752	-0.1499	-0.1409	-0.0258	-0.1170	0.0068	-0.0677	0.2556	-0.1242	-0.1512	-0.0517	0.3225	-0.0722	-0.0508	-0.0885	0.0259	-0.2010	0.0163	0.0140	0.0244	-0.0445	0.2005	0.1038	0.0930	0.0397	-0.0090	0.0400	0.0059	-0.0308	0.1391	0.0601	-0.0360	-0.0781	0.0213	0.1271	-0.1078	0.0838	0.0253	0.1145	-0.0897	0.0201	-0.0001	0.0108	-0.0051	-0.0042	-0.0051
2068bp1	2068bp1	Biopsy	H. sapiens	1	#E7298A	2068bp1	0.1178	0.0305	0.1178	0.0305	-0.0052	-0.0258	-0.0640	-0.1684	-0.1975	-0.0826	-0.2787	0.0299	-0.1122	0.1311	-0.0692	0.0746	0.0176	-0.0282	-0.0079	0.0047	-0.0370	0.0279	-0.1522	-0.0500	-0.0248	0.0028	-0.0751	-0.0228	-0.0590	-0.0957	-0.0555	-0.0572	0.0691	0.0203	0.0777	-0.0018	0.0422	-0.0888	-0.0385	-0.1312	-0.0809	0.0689	0.0931	0.0554	-0.0803	-0.0428	-0.0295	0.0466	0.0412	-0.0317	-0.1027	0.3164	-0.1622	-0.0017	-0.0705	0.2670	0.2747	-0.1954	0.0667	-0.1030	-0.1738	-0.0268	0.0987	-0.3724	-0.0620	-0.1757	-0.0514	-0.1551	-0.0466	-0.1247	0.0555	0.0988	-0.0769	0.0375	-0.0362	-0.0326	0.0218	0.0211	-0.0154	-0.0731	-0.1030	-0.0409	0.0120	-0.0023	0.0175	-0.0331	0.0124	0.0058	-0.0248	-0.0130	-0.0238	0.0076	-0.0031	0.0141	0.0015	0.0102	-0.0053	0.0065	0.0161	0.0230	-0.0125	-0.0020	0.0072	0.0037	-0.0034	0.0202
2072m1	2072m1	Monocytes	H. sapiens	1	#7570B3	2072m1	-0.0415	-0.0942	-0.0415	-0.0942	-0.0168	-0.1267	0.1157	0.0763	-0.0802	0.1700	-0.0900	0.0837	0.0492	-0.0551	0.1843	-0.0200	0.0860	-0.0241	-0.0094	0.1912	0.0193	0.1458	-0.0836	0.0483	0.1210	-0.1859	0.0215	0.0017	-0.0497	0.0110	-0.0582	-0.0851	-0.0521	-0.0147	0.1010	-0.0955	-0.0867	0.0641	-0.0013	-0.0962	0.1153	0.1635	-0.1408	0.1345	-0.0359	0.2292	-0.0956	0.2053	-0.0566	0.0178	-0.1822	-0.1624	0.1568	-0.0212	-0.0420	0.0501	0.0190	-0.0704	-0.1303	0.2184	-0.0216	0.2698	0.1653	0.0380	0.0835	-0.0306	-0.1761	-0.0638	-0.1167	0.0542	0.1174	0.0406	-0.1859	-0.1245	0.0661	0.1672	0.0740	0.1667	0.0758	0.0320	-0.0543	-0.0372	0.0381	-0.0560	0.0211	-0.0254	-0.0470	-0.0738	0.0197	-0.0020	-0.0422	0.0281	0.0265	-0.0159	0.0181	-0.0403	-0.0496	-0.0173	0.0188	-0.0179	-0.0172	0.0122	0.0074	0.0128	0.0088	0.0001
2072n1	2072n1	Neutrophils	H. sapiens	1	#D95F02	2072n1	-0.1158	0.1141	-0.1158	0.1141	0.0913	-0.0179	0.0917	-0.0386	0.0028	0.1260	-0.0890	0.0886	0.0743	-0.0761	0.0401	-0.1538	-0.0674	-0.0641	-0.1883	0.0084	0.0159	0.0661	-0.0592	-0.0378	-0.0011	-0.0410	-0.0176	0.0288	0.0155	0.0450	0.0233	0.2242	0.1084	-0.1887	0.0670	0.0418	0.0547	-0.0054	-0.1479	-0.0396	0.0690	0.0685	0.0201	-0.0072	-0.0341	-0.0493	0.0680	-0.0349	-0.1670	-0.0406	-0.1193	-0.0254	0.0528	0.1316	0.0711	-0.0322	0.0422	-0.0949	-0.1671	-0.1894	-0.0421	-0.0910	-0.0736	-0.0064	-0.0428	0.0623	0.1043	-0.0601	0.0022	0.0699	0.1808	-0.0217	0.0409	0.1492	0.3574	-0.0128	-0.4389	-0.0695	-0.1595	0.0178	-0.0046	-0.1011	-0.1187	-0.1522	-0.0706	-0.0091	0.0390	-0.0988	0.0012	0.0655	-0.0016	0.0455	-0.0338	0.0210	0.0237	-0.0342	0.0171	0.0025	-0.0044	0.0057	-0.0031	0.0140	-0.0113	0.0015	0.0046	-0.0078
2072e1	2072e1	Eosinophils	H. sapiens	1	#66A61E	2072e1	-0.0776	0.0256	-0.0776	0.0256	-0.1629	0.0902	0.0668	-0.0280	-0.0626	0.1625	-0.0478	0.1406	0.0565	-0.1015	0.2642	-0.0626	0.1110	-0.4896	0.2389	-0.3087	-0.0386	-0.1950	-0.1140	0.1728	0.0119	0.1470	-0.0621	0.1413	-0.0082	0.0129	-0.0523	-0.0575	-0.1103	0.0097	0.1007	0.0067	0.1421	-0.0254	-0.0322	0.1588	-0.0964	0.1153	-0.0509	0.0736	0.0325	-0.0199	0.0662	0.0015	-0.0620	0.0170	0.1137	0.1173	-0.0509	-0.0506	0.0094	-0.0052	-0.0468	-0.0607	0.1143	-0.0335	0.1155	0.0846	0.0271	-0.0075	-0.0074	-0.0188	-0.0229	-0.0552	0.1054	0.0481	0.0147	-0.1450	-0.0084	-0.0223	0.0054	0.0254	0.0076	-0.0167	0.0141	-0.0262	0.0857	-0.0484	0.0339	0.0585	-0.0806	0.0409	0.0153	-0.0491	0.0251	0.0184	0.0371	-0.0370	-0.0565	-0.0302	0.0656	0.0366	-0.0289	-0.0113	0.0042	0.0295	-0.0213	-0.0008	0.0105	0.0075	0.0057	0.0117
2072bp1	2072bp1	Biopsy	H. sapiens	1	#E7298A	2072bp1	0.1219	0.0351	0.1219	0.0351	0.0081	-0.0215	0.0114	-0.1190	-0.1846	-0.0918	-0.2447	-0.0057	-0.0582	0.0728	0.0292	0.0054	0.0207	-0.0059	-0.0242	-0.0207	-0.0483	0.0172	-0.0780	-0.0789	-0.0525	-0.0370	-0.1059	-0.1115	0.0564	0.1573	0.2722	-0.0842	-0.0410	-0.0796	-0.0349	0.0493	-0.1176	-0.0938	0.1913	0.0710	0.0131	0.1256	0.0262	-0.0286	0.0345	0.0506	0.0740	0.1339	-0.1301	-0.0524	0.0421	-0.1411	0.0573	-0.0271	0.1253	-0.1634	0.1195	0.3190	0.1584	-0.0380	0.2517	-0.2189	-0.0934	0.0511	0.0908	-0.0948	-0.0090	-0.1382	-0.1080	-0.1874	0.1508	-0.1143	0.0618	-0.0832	0.0721	0.1955	0.0659	-0.1095	0.0251	0.1083	0.0223	-0.0551	0.0405	0.0205	0.0366	-0.0889	0.0061	0.0197	0.0112	-0.0009	0.0126	0.0066	-0.0048	0.0301	0.0091	-0.0134	0.0093	-0.0091	-0.0304	0.0023	0.0084	-0.0189	0.0195	-0.0094	0.0030	-0.0140
2071bp1	2071bp1	Biopsy	H. sapiens	1	#E7298A	2071bp1	0.1200	0.0473	0.1200	0.0473	-0.0044	-0.0302	0.0362	-0.1631	-0.2694	-0.0151	-0.1149	-0.0032	-0.1088	-0.1361	-0.0936	0.0390	0.1879	0.1478	-0.0114	-0.0989	-0.1072	0.0580	-0.2561	-0.0094	0.0105	-0.0208	0.0076	0.0489	-0.0361	-0.1428	-0.0107	-0.0241	0.0714	0.0841	-0.0500	0.1565	0.0222	-0.0694	0.0792	-0.0083	-0.1315	0.0705	-0.0115	-0.1930	-0.1503	0.0201	0.1589	-0.0346	0.0293	-0.1811	-0.0548	-0.0245	-0.1327	-0.0003	-0.0946	-0.1231	-0.0527	-0.0308	-0.0784	-0.0053	-0.0282	0.1752	0.1476	0.3252	-0.0838	0.2841	-0.0123	0.3115	0.0944	0.0345	0.0168	0.0173	-0.0166	-0.0364	-0.0214	-0.0629	-0.0282	-0.0092	-0.0754	0.0491	0.0574	-0.0867	0.0777	-0.0243	0.0378	-0.0018	-0.0042	0.0027	-0.0476	-0.0349	0.0127	0.0252	-0.0050	0.0230	0.0035	0.0017	-0.0088	-0.0044	-0.0006	0.0109	0.0182	-0.0458	0.0225	-0.0072	-0.0051	-0.0060
2073m1	2073m1	Monocytes	H. sapiens	1	#7570B3	2073m1	-0.0391	-0.1132	-0.0391	-0.1132	-0.0181	-0.1233	-0.0034	0.1085	-0.0390	0.0077	-0.0014	-0.0707	-0.0146	-0.0141	-0.0166	0.0482	-0.0613	-0.0115	-0.0626	-0.0929	-0.0158	-0.0436	-0.0270	0.0587	0.0337	-0.1228	0.0746	-0.0292	0.0659	-0.0161	0.0197	-0.0864	-0.0064	-0.0547	-0.0290	0.0375	0.1001	-0.0182	-0.0713	-0.0098	0.0755	-0.0075	0.0517	-0.0043	-0.0278	0.0511	0.0002	-0.0302	-0.0301	-0.1056	-0.0090	-0.0186	0.1436	-0.0591	-0.1218	-0.0679	0.0729	-0.1435	0.0544	0.1404	-0.0639	-0.1069	-0.0159	0.0220	-0.0445	-0.1782	0.1231	0.0931	0.1336	-0.0157	-0.0398	-0.0682	0.0484	-0.0077	0.0686	0.0946	0.0321	-0.0361	0.0516	0.0215	-0.0772	-0.0523	0.0399	-0.0561	-0.0362	0.0690	-0.1277	-0.0134	-0.0912	-0.0096	0.0752	-0.0466	-0.0329	-0.0646	-0.1228	0.3954	0.2471	0.4385	-0.0650	0.2402	0.2652	0.0034	0.0460	-0.0703	0.0409	-0.0141
2073n1	2073n1	Neutrophils	H. sapiens	1	#D95F02	2073n1	-0.1169	0.1010	-0.1169	0.1010	0.0991	-0.0149	-0.0154	-0.0102	0.0175	0.0088	0.0095	-0.1052	-0.0206	-0.0131	-0.0259	0.0269	-0.1193	-0.0429	-0.1791	-0.1185	0.0582	-0.0509	-0.1499	0.0389	-0.0125	-0.1014	0.1584	-0.0443	-0.0253	-0.0263	0.0401	-0.0296	-0.0029	-0.0645	0.0516	-0.0558	-0.0484	0.0691	0.0108	-0.0049	-0.1261	-0.0367	-0.0131	0.0501	-0.0100	0.0464	0.0092	-0.0130	-0.0364	0.0438	0.0962	-0.0239	-0.0519	0.1474	0.0578	-0.0194	0.0546	-0.0633	0.0257	0.0762	-0.0099	0.0153	-0.0129	-0.0102	0.0411	0.0915	-0.0003	-0.0768	0.0174	-0.0236	-0.0323	0.0186	0.0058	0.0642	0.0516	0.0536	-0.0004	0.0112	0.0163	0.0240	0.0584	0.0041	-0.0089	0.1277	0.0987	0.0797	-0.1943	0.1024	-0.1587	-0.5049	-0.1069	-0.4518	0.1131	-0.1240	0.2310	-0.1187	0.0309	-0.0268	0.0700	-0.0540	0.0040	-0.0123	-0.0079	-0.0058	-0.0139	-0.0017
2073e1	2073e1	Eosinophils	H. sapiens	1	#66A61E	2073e1	-0.0870	0.0171	-0.0870	0.0171	-0.1839	0.1269	-0.0725	0.0469	-0.0118	0.0020	-0.0133	-0.0458	-0.0447	-0.0342	-0.0180	0.0719	-0.0690	-0.0771	-0.0187	-0.1339	-0.0112	-0.1516	-0.0560	0.0575	0.0236	-0.0282	0.1061	-0.0941	-0.0057	0.0331	-0.0481	-0.0126	-0.0296	0.0925	-0.0484	-0.0062	0.0217	-0.0456	0.0758	-0.0605	0.1294	-0.0315	0.0283	0.0298	-0.0359	0.0167	-0.0208	-0.1107	-0.0172	-0.0308	-0.1595	0.0589	0.1649	0.0334	0.0081	0.0024	0.0445	0.1399	-0.1366	-0.0837	-0.0146	-0.0183	-0.0378	0.0233	-0.0205	-0.0004	-0.1029	0.0929	-0.1192	-0.0706	-0.0781	0.1172	0.0144	-0.0014	-0.0189	0.0828	-0.1565	-0.0406	0.0666	-0.0457	-0.0484	0.0346	-0.0031	-0.0135	0.0851	0.0345	-0.0424	-0.0474	0.0233	-0.1941	-0.0828	-0.0172	0.1197	0.0935	-0.3591	0.1840	-0.3454	-0.2066	-0.3199	0.1768	-0.1379	0.0434	-0.0285	0.0312	-0.0194	-0.0032
2073bp1	2073bp1	Biopsy	H. sapiens	1	#E7298A	2073bp1	0.1104	0.0257	0.1104	0.0257	0.0145	-0.0276	-0.0917	-0.1175	-0.1941	-0.0465	-0.0660	0.0567	-0.1752	0.0343	-0.0049	-0.0375	-0.0261	-0.0756	-0.0303	-0.0243	0.0420	-0.0069	-0.0351	-0.0471	0.0186	-0.0111	0.0134	-0.0309	-0.0288	0.0507	0.0946	-0.0970	-0.0589	0.0213	-0.0571	0.1858	-0.0840	0.0977	0.0457	0.0274	0.0336	0.0437	0.1361	-0.0367	-0.0213	0.0835	-0.0431	0.0753	-0.1124	0.1588	-0.0574	0.0513	0.0941	-0.0510	0.0649	-0.1881	-0.1816	0.0298	-0.0716	0.1078	-0.0405	-0.0944	-0.0053	-0.0568	0.0320	-0.1195	0.1986	-0.1027	-0.0406	0.4040	-0.2817	0.0149	-0.1268	0.1245	-0.0314	-0.2415	-0.0619	0.2682	0.0141	-0.1261	0.1042	0.1800	-0.0405	-0.0970	-0.0685	0.0171	-0.0380	-0.0727	0.0610	0.0011	0.0517	-0.0744	-0.0293	-0.0307	-0.0599	-0.0252	-0.0098	-0.0298	0.0181	-0.0184	0.0102	-0.0038	0.0242	-0.0023	0.0033	-0.0098
2068m2	2068m2	Monocytes	H. sapiens	1	#7570B3	2068m2	-0.0395	-0.1111	-0.0395	-0.1111	-0.0120	-0.1258	-0.0817	0.1200	-0.0083	-0.0894	-0.0441	0.1548	-0.0457	0.0582	-0.1314	0.0155	0.0558	0.0771	0.0379	-0.1781	-0.1555	-0.0974	0.1215	-0.0314	-0.0549	0.0137	0.0733	0.0629	0.0203	0.0383	0.1170	0.0882	0.0446	-0.0775	-0.1350	-0.0763	-0.0278	0.0119	-0.0775	-0.0438	-0.0289	0.1422	-0.1565	0.0737	0.0661	-0.0910	-0.0357	-0.0642	-0.1007	-0.0555	0.1257	0.2108	-0.1252	-0.0751	0.0574	0.1177	-0.3110	0.1355	0.0080	-0.0107	-0.1477	0.0084	0.0237	0.0237	0.1231	0.1421	0.0879	-0.0496	-0.1594	0.0252	0.2325	0.2531	-0.1015	-0.1966	0.1902	0.0509	0.0156	0.2001	0.0484	0.0818	-0.0010	0.0288	-0.0182	0.0985	-0.1223	0.0554	-0.0810	0.0782	-0.0536	0.0215	0.0270	-0.0593	-0.0339	0.0260	-0.0845	0.0330	0.0669	0.0179	-0.0594	0.0067	0.0181	-0.0036	-0.0058	-0.0116	-0.0095	-0.0059
2068n2	2068n2	Neutrophils	H. sapiens	1	#D95F02	2068n2	-0.1183	0.1184	-0.1183	0.1184	0.1094	-0.0163	-0.0641	-0.0022	0.0752	-0.0329	-0.0751	0.1429	-0.0590	0.0288	-0.1096	0.0251	0.0534	0.0996	0.0442	-0.1296	-0.2499	0.0349	0.3762	0.0076	0.1540	-0.0197	-0.1079	-0.1320	-0.0778	0.0148	-0.2713	-0.2332	-0.0396	0.0031	0.2212	0.0651	0.0915	0.0671	0.3402	0.3339	0.0385	-0.0138	-0.1141	-0.0101	0.0117	0.1003	-0.0004	-0.0041	-0.0875	-0.0448	-0.1289	-0.0623	-0.1058	0.1872	0.0208	0.0373	-0.0098	-0.1846	-0.0175	0.0147	-0.0598	-0.1350	-0.0442	0.0343	0.0554	-0.0171	0.0039	0.0345	-0.0469	-0.0256	0.0272	-0.0318	-0.0107	-0.0016	0.0389	-0.0338	-0.0286	-0.0144	-0.0059	0.0012	0.0133	0.0108	-0.0159	-0.0109	0.0082	-0.0098	0.0074	0.0093	-0.0061	-0.0092	0.0005	-0.0086	0.0078	-0.0080	-0.0010	0.0049	-0.0004	-0.0006	0.0044	-0.0064	-0.0019	-0.0019	-0.0038	-0.0032	0.0017	0.0003
2068e2	2068e2	Eosinophils	H. sapiens	1	#66A61E	2068e2	-0.0882	0.0202	-0.0882	0.0202	-0.1881	0.1291	-0.1279	0.0669	0.0061	-0.0585	-0.0584	0.1416	-0.0986	0.0293	-0.0905	0.0878	0.0355	0.1567	0.0537	-0.0787	-0.1558	-0.0790	0.1710	-0.0683	0.0398	0.0549	0.0432	-0.0310	-0.0698	-0.0364	0.0473	0.1418	0.0824	-0.0423	-0.1614	-0.1371	-0.1391	0.0375	-0.0664	-0.1417	-0.0630	-0.0374	0.0379	-0.0989	0.1386	-0.0342	-0.1381	0.2415	-0.0448	-0.0424	-0.1694	-0.1600	-0.1131	-0.0317	-0.0161	0.0139	-0.0063	-0.0571	0.0087	-0.0476	0.1818	0.2860	0.0712	-0.0673	-0.0947	-0.0589	0.0682	-0.1510	0.2218	0.1050	-0.0614	-0.3573	-0.0058	0.0648	0.0464	0.0687	-0.0851	-0.0681	0.0089	0.0166	-0.0307	-0.0288	0.0390	0.0441	0.0539	-0.0001	-0.0130	0.0532	-0.0797	-0.0206	-0.0188	-0.0702	-0.0877	-0.0045	-0.0857	0.0261	-0.0844	-0.0057	0.0246	-0.0400	0.0437	-0.0112	0.0044	0.0029	0.0035	-0.0052
2072m2	2072m2	Monocytes	H. sapiens	1	#7570B3	2072m2	-0.0437	-0.1013	-0.0437	-0.1013	-0.0153	-0.1283	0.0414	0.0785	-0.0572	-0.0781	-0.0017	0.0985	0.0453	0.0149	-0.0325	-0.1237	0.0797	-0.0701	-0.0121	-0.0341	-0.0765	0.0762	-0.0268	0.0014	0.0131	-0.0668	0.0247	0.0083	0.0503	0.0185	0.0354	0.0481	-0.0284	-0.0011	-0.0708	-0.0495	0.0312	0.0254	0.0308	0.0132	0.0640	0.1426	-0.1168	0.0525	-0.0013	0.0897	-0.0863	0.1659	-0.0002	-0.0233	-0.0466	-0.0105	-0.0162	-0.0562	0.0478	0.0988	-0.0193	0.0926	0.0205	0.0135	0.0024	0.0401	-0.0744	-0.0187	0.0126	0.0490	0.0750	0.0339	0.0367	-0.1776	-0.0974	0.1402	0.3026	0.2374	-0.2032	-0.2573	-0.0535	-0.1376	-0.0209	-0.0812	0.0790	-0.0036	-0.1425	0.1183	0.1425	0.0605	-0.3882	-0.0826	-0.0299	-0.0029	-0.1855	0.2603	-0.1777	-0.1616	0.0574	-0.0378	-0.0193	0.0366	-0.0092	-0.0098	-0.0429	0.0184	0.0337	0.0143	0.0223	0.0126
2072n2	2072n2	Neutrophils	H. sapiens	1	#D95F02	2072n2	-0.1214	0.1302	-0.1214	0.1302	0.1182	-0.0096	0.0862	-0.0312	-0.0069	-0.0017	-0.0436	0.1213	0.0631	-0.0147	-0.0136	-0.0981	0.0264	-0.0488	-0.0314	0.0022	-0.0830	0.1772	0.0280	0.0840	0.1109	-0.1072	-0.0801	-0.0102	0.0940	0.0859	-0.0853	0.2007	-0.0227	-0.1347	-0.0629	0.0532	0.0186	-0.1067	-0.1472	0.0000	0.0396	-0.0107	0.1173	-0.0904	0.0294	-0.1622	0.0411	-0.0886	-0.1875	-0.0091	-0.1716	-0.0638	-0.0967	-0.0545	0.0336	0.0431	0.0345	0.0626	-0.1131	-0.0663	-0.0744	-0.1321	-0.0124	0.0423	-0.0962	0.0225	-0.0594	-0.0974	0.2117	0.0669	-0.2462	0.1761	0.1017	-0.1324	-0.1794	0.2948	0.2779	0.1595	0.0779	-0.1400	0.1412	-0.0422	0.0413	0.1507	0.0957	0.0102	0.0650	0.0769	0.0698	-0.0112	0.0240	-0.0060	0.0068	0.0117	0.0004	0.0113	-0.0151	0.0017	0.0093	0.0014	0.0035	-0.0043	0.0046	-0.0084	-0.0046	-0.0031
2072e2	2072e2	Eosinophils	H. sapiens	1	#66A61E	2072e2	-0.0936	0.0438	-0.0936	0.0438	-0.1835	0.1326	0.0490	0.0019	-0.0802	-0.0287	0.0064	0.0719	0.0618	-0.0237	0.0707	-0.0990	0.0609	-0.0826	0.0097	0.0051	-0.0444	0.0981	-0.0308	0.0290	0.1196	-0.0551	-0.0175	0.0084	0.0083	0.0577	0.0342	0.1305	0.0622	-0.0622	-0.0587	-0.0604	-0.0054	0.0346	0.0755	0.1204	-0.0241	-0.1378	-0.0077	-0.0946	0.0306	0.0187	-0.1088	0.0881	0.1108	0.0385	0.1452	0.0352	-0.0037	-0.0813	-0.0601	-0.0323	0.0699	-0.0815	-0.0449	-0.0880	-0.0712	-0.0574	-0.0002	0.0551	0.0573	0.0493	-0.0141	-0.0817	-0.0576	0.0166	-0.0965	0.1420	0.0602	0.0634	0.1300	-0.0685	0.2819	-0.0199	-0.4152	0.2802	-0.2623	0.2944	0.1296	-0.1809	0.0727	-0.1152	-0.0344	0.0428	-0.0812	-0.0187	0.0054	-0.0203	0.0918	-0.0315	-0.1065	-0.0137	0.0006	0.0401	-0.0276	-0.0390	0.0231	0.0090	-0.0010	0.0047	0.0154	-0.0075
2073m2	2073m2	Monocytes	H. sapiens	1	#7570B3	2073m2	-0.0402	-0.1112	-0.0402	-0.1112	-0.0111	-0.1230	-0.0597	0.0924	-0.0257	-0.0859	0.0590	-0.1010	-0.0219	0.0592	-0.0848	-0.0091	-0.0344	-0.0170	-0.0869	-0.1785	-0.0432	-0.0419	-0.0070	0.0321	0.0361	-0.0680	0.0468	-0.0420	0.0666	0.0355	0.0543	-0.0151	0.0677	-0.0180	-0.0563	0.0860	0.1879	-0.0420	-0.0810	0.0478	0.0389	-0.0393	0.0617	-0.0246	0.0153	0.0422	-0.0546	0.0246	0.0346	-0.0921	0.0019	0.0325	0.0678	-0.0525	-0.0371	-0.0176	-0.0618	-0.0168	0.0593	0.1220	-0.0351	-0.0138	0.0665	0.0002	-0.0102	-0.1530	0.1286	0.0631	0.0484	0.0373	0.0072	-0.0082	0.0006	-0.0291	0.0827	0.0838	-0.0278	0.0131	-0.0303	0.0280	-0.0479	-0.0440	0.0641	-0.0035	-0.0570	-0.1805	0.1948	0.1472	0.0059	0.0288	-0.0640	0.2603	0.2486	-0.2746	0.3625	-0.0038	-0.4184	-0.0540	0.1421	-0.0430	-0.0812	0.0668	-0.0513	0.0586	-0.0404	0.0107
2073n2	2073n2	Neutrophils	H. sapiens	1	#D95F02	2073n2	-0.1203	0.1136	-0.1203	0.1136	0.1297	-0.0069	-0.0382	-0.0092	0.0175	-0.0635	0.0472	-0.1255	-0.0523	0.0586	-0.0023	0.0954	0.0166	-0.0435	-0.0451	-0.1337	-0.0280	0.0566	-0.0831	0.0730	0.0684	-0.1878	0.1347	-0.1180	0.0132	-0.0054	-0.0324	-0.0972	-0.0578	0.0109	-0.0740	-0.0256	-0.0975	0.0106	-0.0465	-0.0070	-0.0776	-0.1348	-0.0329	0.0612	0.0312	0.0805	-0.0812	-0.0545	0.0421	0.1703	0.1196	-0.0062	-0.1888	0.1427	0.0837	0.0250	-0.0382	0.1406	0.2344	0.2114	0.0901	0.0973	0.0885	-0.0751	-0.1578	0.0245	-0.0918	-0.0370	0.0540	0.0222	-0.1059	0.1563	-0.1033	-0.0330	0.0450	0.1273	-0.0493	-0.0939	-0.3392	0.0133	0.0979	-0.1959	-0.2379	-0.1349	-0.0375	-0.0196	0.0536	-0.1335	0.0819	0.1433	0.0553	0.1196	-0.1231	0.0926	-0.1078	0.0346	0.0124	-0.0078	-0.0113	-0.0063	0.0131	-0.0072	0.0109	-0.0046	0.0035	0.0060
2073e2	2073e2	Eosinophils	H. sapiens	1	#66A61E	2073e2	-0.0888	0.0217	-0.0888	0.0217	-0.1803	0.1356	-0.0726	0.0467	-0.0305	-0.0940	0.0419	-0.0409	-0.0396	-0.0120	-0.0217	0.0851	-0.0555	-0.0704	0.0015	-0.1123	-0.0388	-0.1073	-0.0656	0.0547	0.0786	-0.0730	0.0824	-0.0860	-0.0521	0.0876	-0.0717	0.0700	-0.0005	0.1046	-0.0389	-0.0189	-0.0211	-0.0476	0.1874	-0.1022	0.0819	-0.0159	-0.0094	-0.0099	-0.0110	0.0222	-0.0394	-0.1117	-0.0018	0.0004	-0.1211	0.0980	0.1278	0.0124	-0.0363	0.0135	-0.0307	0.1337	-0.1289	-0.1380	0.0504	0.0492	0.0345	-0.0161	-0.0158	-0.0155	-0.0723	0.0041	-0.0354	0.0108	-0.0506	-0.0303	-0.0396	-0.0176	0.0088	0.0333	-0.0436	0.0135	0.0537	-0.0913	0.0098	-0.0285	-0.0405	-0.0163	0.0343	-0.0412	0.0370	0.0483	-0.0584	0.1099	-0.0535	0.1947	0.2817	-0.0402	0.1789	-0.2852	0.5670	0.1020	-0.0082	-0.0594	-0.0339	-0.0388	0.0492	-0.0249	0.0001	0.0041
2068m3	2068m3	Monocytes	H. sapiens	1	#7570B3	2068m3	-0.0446	-0.0968	-0.0446	-0.0968	-0.0119	-0.1330	0.0562	0.0822	-0.0627	0.0650	-0.0431	0.0849	0.0456	0.0135	-0.0031	-0.0954	0.0863	0.0073	-0.0127	0.0805	-0.0618	0.0371	0.0458	0.0158	-0.0437	-0.0015	0.0234	0.0045	0.1007	-0.0793	0.0790	-0.1080	-0.0152	0.1144	0.0321	-0.0897	-0.0658	0.0930	0.1221	-0.2772	-0.1315	0.0610	0.0004	0.1619	-0.0716	0.0184	0.0697	-0.1660	0.1949	0.1393	0.0447	-0.0042	-0.0772	0.1269	0.1037	0.0802	-0.1147	0.0052	-0.0193	-0.2673	-0.0396	-0.2119	0.0509	0.0002	0.1771	-0.1082	0.1124	0.1890	0.1151	0.1808	-0.0946	-0.1648	-0.0617	-0.1134	-0.0813	0.2972	-0.0702	-0.1698	-0.1325	-0.0895	-0.0523	0.1606	0.1002	-0.0401	0.0898	0.0049	-0.0310	-0.0763	0.0172	-0.0333	-0.0651	0.0397	-0.0675	-0.0319	0.0409	-0.0436	-0.0382	0.0010	0.0079	-0.0051	0.0372	0.0180	0.0002	0.0022	0.0143	0.0044
2068n3	2068n3	Neutrophils	H. sapiens	1	#D95F02	2068n3	-0.1227	0.1221	-0.1227	0.1221	0.1094	-0.0130	-0.0014	-0.0307	0.0553	0.0881	-0.0647	0.0510	0.0008	0.0480	-0.0738	-0.1198	0.0727	-0.0276	-0.0498	-0.0549	-0.1013	0.1462	0.1986	-0.0938	0.0304	-0.0250	-0.1178	-0.0597	0.0645	-0.1122	-0.1251	-0.0919	-0.0405	0.1221	0.0621	0.0745	0.0418	-0.0392	-0.0680	-0.1824	-0.0089	-0.0586	0.1653	-0.0290	-0.0488	-0.0528	0.1093	-0.1323	0.2332	0.0763	0.1612	0.0932	0.2019	-0.1659	-0.1006	-0.0771	0.0120	0.1546	0.1463	0.0569	0.1739	0.1381	0.2111	0.0770	0.1175	-0.0121	-0.1284	-0.1437	-0.0201	0.0077	0.0419	0.0802	0.1263	0.2746	0.1629	0.0173	-0.1449	0.1304	0.1159	0.0265	-0.0087	0.0567	0.1289	0.1183	0.1266	0.0023	-0.0331	0.0289	-0.0801	0.0595	0.0162	-0.0164	-0.0208	0.0306	-0.0046	0.0186	0.0118	0.0133	-0.0072	-0.0062	0.0103	0.0152	0.0187	0.0004	-0.0036	-0.0075
2068e3	2068e3	Eosinophils	H. sapiens	1	#66A61E	2068e3	-0.0959	0.0326	-0.0959	0.0326	-0.1914	0.1390	0.0293	0.0174	-0.0367	0.0476	-0.0300	0.0710	0.0200	0.0166	0.0040	-0.0631	0.0193	0.0236	-0.0501	0.0699	-0.0330	0.0008	0.1024	-0.0592	-0.0215	0.0215	0.0116	-0.0380	0.0959	-0.1265	0.0300	-0.1134	0.0041	0.0645	-0.0127	-0.0377	-0.0703	0.0094	-0.1689	-0.1236	-0.1472	-0.0783	0.1747	-0.0219	0.0099	-0.0658	0.0960	0.0697	0.1015	-0.0243	0.0126	-0.1670	-0.0870	0.0694	0.0207	-0.0257	-0.0864	-0.1863	0.0035	-0.0380	0.0904	-0.1302	0.0176	0.1037	0.1578	-0.0422	-0.0036	-0.0570	-0.1290	0.0171	0.1498	0.0288	0.0526	-0.0095	0.0204	-0.1927	0.3079	0.0572	0.0154	-0.1154	0.1502	-0.2666	-0.2562	-0.1038	-0.1773	-0.0262	-0.0225	-0.0789	0.0818	-0.1441	-0.0719	0.1195	0.2020	-0.0788	0.0299	0.0498	0.0390	0.0065	-0.1638	0.1258	-0.0823	0.0198	-0.0022	-0.0101	0.0002	-0.0068
2072m3	2072m3	Monocytes	H. sapiens	1	#7570B3	2072m3	-0.0479	-0.0974	-0.0479	-0.0974	-0.0021	-0.1265	0.0396	0.0823	-0.0781	-0.0358	0.0261	0.0448	0.0598	0.0616	0.0284	-0.1593	0.1054	-0.0641	-0.0472	0.0160	-0.0496	0.1108	-0.0440	-0.0059	0.0082	-0.0522	0.0022	-0.0091	0.0928	-0.0118	0.0731	0.0293	0.0491	0.0379	0.0018	-0.0283	0.0769	0.0514	0.0649	-0.0438	0.0178	0.0436	-0.0435	0.0533	0.0170	0.1175	-0.0762	0.0835	0.0481	0.0394	-0.0814	-0.0299	-0.0596	0.0634	0.0669	0.0902	-0.0248	0.0854	0.0034	0.0211	0.0316	0.1363	0.0126	-0.0149	0.0407	-0.0469	0.0452	0.1069	-0.0345	-0.1219	-0.0451	0.0298	0.2148	0.1424	-0.0781	-0.1432	-0.0394	-0.1321	-0.0173	-0.1603	0.0687	0.0339	0.0254	0.0460	-0.2838	-0.0179	0.4269	0.2372	0.0178	-0.0193	0.1624	-0.2986	0.2129	0.2042	-0.1330	0.0747	0.0965	-0.0252	0.0645	0.0107	0.0103	-0.0245	-0.0102	-0.0325	-0.0165	-0.0137
2072n3	2072n3	Neutrophils	H. sapiens	1	#D95F02	2072n3	-0.1240	0.1343	-0.1240	0.1343	0.1315	-0.0069	0.0415	-0.0274	-0.0242	-0.0360	0.0178	0.0223	0.0179	0.0573	0.0766	-0.0605	0.1197	-0.0685	0.0728	0.0427	-0.0874	0.1771	-0.0308	0.0170	0.0215	-0.1196	-0.0090	-0.0132	0.1001	0.0723	0.0060	0.1998	-0.0062	-0.1016	-0.0896	0.0031	-0.0241	-0.0257	-0.0874	-0.0590	0.0013	-0.1230	0.0750	-0.0089	0.0814	-0.0550	0.0289	-0.1802	-0.0516	-0.0827	-0.1796	0.1713	0.0990	0.2826	-0.0229	-0.0045	-0.1422	0.0005	0.2206	0.1099	0.1735	-0.0111	-0.0201	-0.0673	-0.0473	-0.0367	-0.0259	0.1694	-0.1478	-0.0180	0.1010	-0.2052	-0.2243	-0.1129	-0.2041	-0.2827	0.0400	-0.0779	0.1622	0.1449	-0.1693	0.1119	0.0774	-0.0317	-0.0406	0.0213	-0.0906	-0.0166	-0.0230	-0.0460	-0.0380	0.0056	-0.0086	-0.0330	-0.0066	-0.0115	-0.0171	-0.0174	0.0021	0.0024	0.0213	-0.0103	-0.0141	0.0100	-0.0031	0.0070
2072e3	2072e3	Eosinophils	H. sapiens	1	#66A61E	2072e3	-0.0911	0.0354	-0.0911	0.0354	-0.1841	0.1374	0.0298	0.0278	-0.0964	-0.0487	0.0205	0.0544	0.0427	-0.0124	0.0642	-0.1001	0.0648	0.0152	-0.0198	0.1077	-0.0341	0.1509	-0.0150	-0.0167	0.0606	-0.1084	-0.0444	-0.0400	0.0395	0.1029	0.0890	0.1699	0.0978	-0.0678	-0.1182	0.0068	-0.0247	0.0877	0.2112	0.1494	-0.0117	-0.2303	-0.0343	-0.1116	0.0180	0.1294	-0.0749	0.0797	0.2326	0.0217	0.3494	0.0850	-0.0023	-0.0975	-0.1066	-0.0416	0.1417	-0.0809	0.0228	0.0079	-0.1805	-0.0608	-0.0325	-0.0798	-0.0390	0.0132	0.0554	0.1060	-0.0077	0.0264	0.0903	-0.0207	-0.1468	-0.0771	-0.0108	0.0903	-0.2090	0.0501	0.2947	-0.1580	0.1396	-0.1645	-0.0512	0.0766	0.0243	0.1004	-0.0081	-0.0266	0.1020	-0.0240	0.0253	-0.0039	-0.0765	0.0507	0.0170	-0.0015	-0.0416	-0.0213	0.0251	0.0071	0.0137	-0.0044	-0.0182	-0.0146	-0.0205	-0.0029
2159bp1	2159bp1	Biopsy	H. sapiens	1	#E7298A	2159bp1	0.1369	0.0447	0.1369	0.0447	-0.0125	-0.0214	-0.2022	-0.0438	0.0259	-0.0079	-0.0368	0.0796	0.1867	0.0323	0.0541	0.0169	0.0152	0.0092	0.0015	-0.0177	0.0264	-0.0189	-0.0927	-0.0211	-0.0804	-0.0827	-0.1320	-0.0873	0.0244	-0.2648	0.0776	0.0814	-0.0128	-0.1063	0.0546	-0.1261	0.0430	-0.2905	0.1585	0.0170	0.1218	-0.2433	-0.0933	0.1174	-0.0349	0.0057	0.2508	-0.0663	0.0256	-0.1582	0.0421	-0.1595	-0.0764	-0.0153	0.0185	-0.1900	-0.2952	-0.0065	-0.1124	0.0495	-0.1029	0.2001	-0.1604	-0.2381	0.0984	-0.1865	-0.1071	-0.0188	0.1118	0.0533	-0.0221	0.0839	-0.0114	0.0606	0.0369	-0.0128	0.0375	-0.0501	0.0068	0.0292	-0.0563	0.0332	-0.0681	0.0616	0.0385	0.0155	0.0118	-0.0343	0.0459	0.0154	-0.0164	-0.0173	-0.0022	-0.0170	0.0024	0.0035	0.0049	0.0017	-0.0065	-0.0015	-0.0041	0.0129	-0.0025	0.0012	-0.0007	0.0070
2073m3	2073m3	Monocytes	H. sapiens	1	#7570B3	2073m3	-0.0437	-0.1154	-0.0437	-0.1154	-0.0238	-0.1198	-0.0099	0.1086	-0.0040	-0.0725	0.0143	-0.0349	0.0124	0.0004	-0.0941	0.0057	-0.0889	-0.0707	-0.0941	-0.0721	-0.0066	-0.0255	-0.0630	0.0358	0.0331	-0.1261	0.0841	-0.0178	0.1074	-0.0387	-0.0537	-0.0709	-0.0624	0.0672	0.0254	0.0074	0.0588	-0.0879	-0.0891	-0.0335	0.0657	0.0376	0.0193	-0.0129	-0.0036	0.0009	0.0399	0.0297	0.0414	-0.0770	-0.0152	-0.0617	0.1038	-0.1157	-0.1739	-0.0489	0.0161	-0.2723	0.1034	0.0341	0.0366	-0.1626	-0.0571	-0.0011	0.0167	-0.0638	0.2163	0.0526	0.1258	-0.0060	0.0550	-0.0632	0.0215	-0.0222	0.0113	0.0014	0.0873	0.0401	-0.0078	0.2165	-0.0142	-0.0907	0.0089	0.0766	0.0275	0.0768	-0.0047	0.0414	0.0945	0.0554	0.0263	-0.0559	-0.1747	0.1983	-0.2409	-0.3019	0.1510	-0.3475	0.0028	-0.1791	-0.2451	-0.0474	0.0062	0.0191	-0.0109	0.0201
2073n3	2073n3	Neutrophils	H. sapiens	1	#D95F02	2073n3	-0.1190	0.0997	-0.1190	0.0997	0.1074	0.0042	-0.0113	0.0009	0.0392	-0.0197	-0.0249	-0.0135	-0.0001	-0.0376	-0.1132	0.0330	-0.1753	-0.0321	-0.1896	-0.0907	0.0379	-0.0453	-0.1481	0.1256	0.0821	-0.1539	0.1293	-0.0265	0.0171	0.0043	-0.0567	-0.0163	-0.0593	0.0286	0.1154	-0.0861	-0.0628	0.0066	0.0324	-0.0346	-0.2112	0.0528	0.0478	0.0191	0.0119	-0.0437	0.0649	0.0856	-0.0551	0.1609	0.1730	-0.1718	-0.2277	-0.1179	0.1285	-0.0117	0.0690	0.0129	-0.0971	0.0489	-0.0800	0.0264	-0.1073	-0.0101	0.0136	0.1433	-0.0052	-0.0707	0.0700	0.0297	0.2227	-0.1055	0.0322	-0.0252	-0.0996	-0.1805	0.0065	-0.0217	0.2847	-0.0898	-0.1778	0.2441	0.2172	-0.0368	-0.0428	-0.0498	0.0578	-0.0092	0.0250	0.1830	0.0030	0.1994	0.0463	0.0189	-0.0765	0.0638	-0.0307	0.0252	-0.0524	0.0439	-0.0205	-0.0057	0.0113	0.0036	0.0082	-0.0045
2073e3	2073e3	Eosinophils	H. sapiens	1	#66A61E	2073e3	-0.0953	0.0212	-0.0953	0.0212	-0.1795	0.1463	-0.0435	0.0475	-0.0144	-0.0374	0.0124	-0.0419	-0.0209	0.0065	-0.0894	0.0191	-0.1166	-0.0084	-0.1063	-0.0119	0.0511	-0.0355	-0.0816	0.0311	0.0435	-0.1166	0.0787	-0.1184	0.0455	0.0423	-0.0882	-0.0433	-0.0489	0.1425	-0.0211	-0.0116	0.0121	-0.0768	0.0361	-0.0390	0.0582	-0.0130	0.0210	0.0295	-0.0159	0.0219	0.0329	-0.0593	0.0507	-0.0373	-0.1073	0.0361	0.1403	-0.0042	-0.0158	0.0373	-0.0681	0.0516	-0.2055	-0.1981	0.0134	-0.0563	0.0127	0.0323	0.1099	0.0770	-0.1075	-0.0771	-0.1170	-0.0689	0.0869	-0.0466	-0.0233	-0.0341	-0.0618	-0.1348	0.1385	-0.0075	-0.0809	0.0190	0.0980	-0.0412	-0.0474	0.0691	-0.1026	-0.0152	0.0326	-0.0066	0.0082	0.1426	0.1199	-0.1754	-0.4372	0.0372	0.1847	0.1118	-0.2099	0.0959	0.3152	-0.0885	0.1979	-0.0194	-0.0501	-0.0101	0.0104	0.0047
2162m1	2162m1	Monocytes	H. sapiens	1	#7570B3	2162m1	-0.0315	-0.1143	-0.0315	-0.1143	-0.0119	-0.1265	-0.0231	0.1176	-0.0367	0.1100	-0.1127	0.0939	-0.0423	0.0465	-0.0226	0.0764	0.0665	0.1490	0.0372	0.0271	-0.0262	-0.0809	-0.0260	0.1166	-0.1972	-0.0532	0.0806	0.1434	0.0462	0.0975	0.0227	0.0354	-0.1073	-0.0673	0.0179	0.1116	-0.1056	-0.0416	0.0226	0.0335	0.0877	-0.1331	-0.1982	-0.0573	0.0691	-0.0860	0.0510	-0.3080	-0.0496	0.2886	-0.0205	-0.0683	-0.1358	-0.0795	-0.2225	-0.1514	0.2991	-0.1798	-0.0584	-0.0807	0.3144	0.1375	-0.0679	-0.0091	0.0754	-0.0592	0.0896	-0.0369	-0.1378	-0.0025	-0.0129	0.1481	-0.0313	-0.0272	-0.0660	-0.0744	-0.0453	-0.0029	-0.0468	-0.0573	0.0624	0.0506	-0.0328	0.0087	-0.0091	-0.0198	0.0139	0.0728	-0.0145	0.0348	-0.0352	0.0145	0.0122	-0.0281	0.0638	0.0148	-0.0562	0.0207	0.0071	0.0174	0.0123	0.0112	-0.0161	-0.0064	0.0070	-0.0045
2162n1	2162n1	Neutrophils	H. sapiens	1	#D95F02	2162n1	-0.1088	0.0939	-0.1088	0.0939	0.0729	-0.0359	-0.0304	-0.0395	0.0625	0.1096	-0.1000	0.0996	-0.0377	-0.0217	-0.1249	-0.0678	-0.0693	0.0622	-0.1300	0.0577	0.0494	-0.1347	-0.0678	0.0452	-0.3580	0.1133	0.0623	0.2218	-0.0535	0.1612	-0.0823	0.2281	-0.1371	0.0258	0.3247	0.0649	0.0238	-0.0915	0.1273	-0.0924	-0.0480	-0.0436	0.0685	-0.1598	0.1230	0.2018	-0.1869	0.2018	0.1242	-0.0547	-0.0013	-0.0151	-0.0111	-0.0736	-0.1007	0.0555	-0.2760	0.0302	0.0806	0.0168	0.0515	-0.1457	0.0489	0.0362	-0.1112	-0.1284	-0.1555	0.0929	0.0165	-0.0487	-0.0671	0.0764	-0.0190	-0.0540	0.0123	0.0169	0.0272	-0.0178	-0.0071	-0.0111	-0.0208	-0.0272	-0.0216	-0.0354	-0.0089	-0.0135	-0.0049	-0.0239	-0.0401	0.0071	0.0019	-0.0220	-0.0168	0.0015	-0.0051	0.0265	0.0040	0.0184	-0.0151	-0.0103	-0.0062	-0.0037	0.0048	-0.0069	-0.0018	0.0049
2162e1	2162e1	Eosinophils	H. sapiens	1	#66A61E	2162e1	-0.0860	0.0314	-0.0860	0.0314	-0.1861	0.1201	0.0208	0.0131	-0.0610	0.0975	-0.0601	0.0427	0.0504	-0.0232	-0.0114	-0.0631	0.0454	0.1519	-0.0739	0.1121	0.0817	-0.0103	-0.0516	0.0009	-0.3232	0.0124	0.0300	0.0320	0.0881	0.0787	-0.0636	-0.1991	-0.1812	-0.0054	-0.0600	0.2126	0.0541	-0.0841	-0.1643	0.2168	0.1758	-0.1272	-0.0929	0.0248	-0.0311	0.0104	-0.0385	-0.0984	0.1295	-0.0223	-0.1348	0.0130	-0.1147	0.0950	0.1371	0.1834	0.0421	0.2448	0.0425	0.1496	-0.2208	0.0540	0.0708	-0.0775	0.0739	0.1621	0.1795	-0.1149	0.0937	0.0711	0.0548	-0.2163	0.0382	0.0999	0.0312	0.0267	0.0658	0.0056	0.0269	0.0860	-0.0581	0.0002	0.0580	-0.0215	0.0711	0.0483	-0.0062	0.0286	0.0522	-0.0128	0.0125	0.0331	0.0411	0.0191	0.0098	-0.0337	0.0650	-0.0199	-0.0356	0.0310	-0.0030	-0.0216	0.0109	0.0002	0.0050	-0.0001
2162bp1	2162bp1	Biopsy	H. sapiens	1	#E7298A	2162bp1	0.1422	0.0838	0.1422	0.0838	-0.0171	-0.0188	-0.0526	0.0090	0.0444	0.0187	-0.0923	0.0370	0.3405	0.3629	0.1339	-0.0723	0.1814	0.2570	-0.0284	-0.2181	0.3560	0.0275	0.0247	0.1077	0.1114	0.0509	0.2051	0.1764	-0.0227	0.1968	-0.2412	-0.1738	0.1913	-0.0353	-0.1149	-0.1125	-0.0152	-0.1091	0.0452	-0.0215	-0.0297	0.1122	0.0908	-0.0499	0.1073	-0.0082	0.0790	0.0775	0.0010	-0.0373	0.0412	0.0080	0.0542	0.0696	-0.0964	0.0020	0.0354	0.0580	0.0207	-0.0408	0.0035	-0.0389	-0.0281	0.0220	0.0026	0.0151	0.0003	0.0291	0.0050	0.0973	-0.0226	0.0135	-0.0246	0.0403	-0.0097	-0.0228	-0.0221	-0.0098	0.0099	-0.0250	-0.0070	-0.0128	-0.0109	0.0089	-0.0005	0.0016	-0.0186	-0.0203	0.0094	-0.0008	0.0132	-0.0152	0.0157	0.0020	-0.0142	0.0027	0.0049	-0.0054	0.0083	-0.0058	-0.0071	-0.0033	-0.0005	0.0037	-0.0012	0.0027
macrofagos	Macrofagos	Macrophages	H. sapiens	1	#E6AB02	Macrofagos	0.0195	-0.1864	0.0195	-0.1864	0.1063	0.1531	-0.0580	-0.0110	0.0788	-0.0133	-0.0708	0.0736	-0.0384	-0.0567	-0.0595	-0.0697	-0.1991	0.0693	0.2312	-0.0875	-0.0162	0.0933	-0.0824	-0.0261	-0.0255	0.0054	0.0826	-0.0168	0.0023	-0.0338	0.0101	0.0729	0.0171	0.0191	0.0161	0.0018	-0.0008	-0.1000	-0.0257	0.0510	-0.0406	0.0106	-0.1150	-0.1002	-0.0160	-0.0613	0.0537	0.1304	0.0337	0.1302	-0.0046	0.0179	0.1035	0.1453	0.0137	0.0128	0.0439	0.0008	0.0601	0.0008	0.0109	0.0109	-0.1006	-0.0503	-0.0062	0.0147	-0.0806	0.1930	-0.1099	0.1527	0.1759	-0.0584	0.1267	0.2328	-0.1678	0.2512	0.0506	0.2179	-0.0768	-0.0437	-0.0941	0.0281	-0.0833	-0.0291	-0.0439	-0.0277	-0.0721	-0.0396	-0.0600	-0.0561	0.1754	0.0840	0.0214	-0.0486	0.0230	0.1750	0.1190	-0.2534	0.1938	0.0505	0.0111	0.1511	-0.0252	-0.1370	-0.0197	-0.1376
macrofagos+sbv	Macrofagos+SbV	Macrophages	H. sapiens	1	#E6AB02	Mcrfgs+SbV	0.0151	-0.1814	0.0151	-0.1814	0.1110	0.1703	-0.0099	-0.0196	0.1055	-0.0019	-0.0817	0.0830	0.0390	-0.0634	-0.2173	0.1081	0.0840	-0.0988	0.0558	0.0180	0.1023	0.0556	0.0366	0.0036	0.0219	0.0253	0.0357	-0.0080	0.0298	0.0217	0.0707	0.0397	-0.0123	-0.0187	-0.0298	-0.0183	0.0134	-0.0679	-0.0354	0.0573	-0.0517	0.0499	-0.0546	-0.0604	-0.0736	-0.0832	0.0208	0.0699	0.0841	0.0859	0.0148	-0.0347	0.1067	0.1371	-0.0379	-0.0023	0.0055	0.0242	-0.0300	0.0435	-0.0321	-0.0150	0.0202	0.0107	0.0322	-0.0137	-0.0041	-0.0223	0.0065	-0.0490	-0.0438	0.0221	-0.0331	-0.0442	0.0434	-0.0310	-0.0424	-0.0094	-0.0164	-0.0033	0.0346	-0.0049	0.0698	-0.0466	0.0281	0.0158	0.0654	-0.0352	0.1418	0.0847	-0.2813	-0.1071	0.0500	-0.1078	-0.0094	0.1664	0.0343	-0.0615	0.0775	-0.0117	-0.0293	-0.3813	0.2268	-0.1375	-0.0568	0.5172
macrofagos+10772	Macrofagos+10772	Macrophages	H. sapiens	1	#E6AB02	Mcrf+10772	0.0184	-0.1758	0.0184	-0.1758	0.1228	0.1545	-0.0166	-0.0396	0.0133	0.0066	0.0247	-0.0131	-0.0303	0.0169	0.1090	-0.1402	-0.1564	0.0867	0.0725	-0.0527	-0.0931	-0.0001	-0.0297	-0.0152	-0.0205	-0.0003	-0.0149	0.0018	0.0380	-0.0180	-0.0441	0.0386	-0.0317	0.0353	-0.0072	-0.0157	-0.0408	-0.0962	-0.0058	0.0345	-0.0450	0.0764	-0.0722	-0.0401	-0.0537	-0.0500	0.0565	0.0751	0.0473	0.0994	0.0196	-0.0310	0.0922	0.1041	-0.0045	0.0225	0.0215	-0.0012	-0.0202	0.0500	-0.0151	-0.0143	0.0135	-0.0506	-0.0440	-0.0384	0.0151	0.0745	-0.0149	0.0584	0.0356	-0.0165	-0.0040	0.0595	-0.0428	0.0338	0.0194	0.0557	-0.0394	-0.0248	-0.0229	-0.0134	-0.0666	0.0687	-0.0297	-0.0370	-0.0030	0.1204	-0.0938	-0.0050	0.1367	-0.0024	-0.0624	0.0931	0.0156	-0.2451	-0.1762	0.4163	-0.3280	-0.0565	-0.0855	-0.3661	-0.2294	0.2667	-0.0550	0.0934
macrofagos+10772+sbv	Macrofagos+10772+SbV	Macrophages	H. sapiens	1	#E6AB02	M+10772+SV	0.0130	-0.1781	0.0130	-0.1781	0.1175	0.1721	-0.0288	-0.0306	0.0946	-0.0202	-0.0305	0.0335	0.0271	-0.0273	-0.1525	0.1181	0.1332	-0.1184	-0.0366	0.0301	0.0882	0.0137	0.0209	0.0145	0.0142	0.0181	0.0126	0.0040	0.0073	0.0384	0.0559	0.0144	0.0265	-0.0074	0.0161	-0.0144	0.0289	-0.0420	-0.0095	0.0293	-0.0243	-0.0016	-0.0289	-0.0151	-0.0196	-0.0250	0.0232	0.0336	0.0326	0.0296	0.0034	-0.0011	0.0612	0.0708	-0.0091	0.0181	0.0033	-0.0143	-0.0093	0.0331	-0.0114	-0.0133	0.0143	-0.0095	-0.0179	0.0048	0.0059	0.0365	-0.0158	0.0183	0.0216	-0.0041	-0.0091	0.0096	-0.0032	-0.0182	0.0143	0.0210	-0.0294	-0.0156	0.0149	-0.0501	0.0312	0.0289	0.0029	0.0154	0.0654	0.0755	0.0817	0.0606	-0.1490	-0.0808	-0.0186	0.0414	0.0092	-0.1749	-0.1104	0.1061	-0.1397	0.0211	0.1171	0.1132	0.4646	0.1644	0.3876	-0.4881
macrofagos+2169	Macrofagos+2169	Macrophages	H. sapiens	1	#E6AB02	Mcrfg+2169	0.0155	-0.1643	0.0155	-0.1643	0.1336	0.1462	-0.0666	-0.0531	-0.0143	0.0150	0.0956	-0.0966	-0.0915	0.1273	0.2451	-0.1328	-0.0530	0.1211	-0.1211	-0.0139	-0.1795	-0.1281	-0.0165	0.0002	0.0092	0.0193	-0.1111	0.0241	0.0743	-0.0040	-0.0933	0.0751	-0.0601	0.0594	-0.0273	-0.0271	-0.0520	-0.0993	-0.0246	0.0450	-0.0421	0.0862	-0.0555	0.0084	-0.0416	-0.0463	0.0417	0.0777	0.0447	0.0411	-0.0002	-0.0169	0.0462	0.0429	-0.0310	0.0187	0.0158	-0.0020	-0.0099	0.0166	-0.0316	-0.0077	0.0274	0.0154	-0.0005	0.0278	0.0306	-0.0432	0.0262	-0.0314	-0.0649	0.0115	-0.0558	-0.0729	0.0200	-0.0729	-0.0144	-0.0412	-0.0074	0.0313	0.0366	-0.0145	0.0680	-0.0128	0.0131	0.0476	0.0424	0.0236	0.0555	0.0411	-0.1258	-0.0535	-0.0268	0.0430	0.0060	-0.1224	-0.0579	0.1004	-0.1036	-0.0015	0.0344	0.4599	0.1464	-0.4709	-0.2338	0.0884
macrofagos+2169+sbv	Macrofagos+2169+SbV	Macrophages	H. sapiens	1	#E6AB02	Mc+2169+SV	0.0126	-0.1606	0.0126	-0.1606	0.1302	0.1710	0.0129	-0.0553	0.0024	-0.0028	0.0500	-0.0471	0.0012	0.0307	-0.0043	0.1401	0.2448	-0.0758	-0.2343	0.0666	0.0221	-0.1079	0.0350	0.0146	0.0258	-0.0056	-0.0389	0.0268	-0.0338	0.0249	0.0040	0.0006	0.0180	0.0040	0.0265	0.0216	-0.0111	0.0758	0.0388	-0.0383	0.0721	-0.0779	0.0507	0.0317	0.0643	0.0682	0.0008	-0.0174	-0.0834	-0.0847	-0.0349	0.0480	-0.0727	-0.1373	0.0644	-0.0035	0.0083	-0.0418	0.0998	-0.0553	0.0310	0.0214	-0.0908	-0.0263	-0.0113	0.0739	-0.0454	0.0982	-0.0700	0.1321	0.1316	-0.0434	0.1265	0.1189	-0.1118	0.1127	0.0288	0.1151	-0.0380	0.0342	0.0142	-0.0027	-0.0152	-0.0203	-0.0212	0.0462	0.0080	0.0020	0.0098	-0.0054	-0.0040	-0.0126	0.0054	0.0194	-0.0189	-0.0366	0.0387	0.0148	-0.0283	-0.0134	0.1472	0.3420	-0.1234	0.3421	0.0922	0.4714
macrofagos+12309	Macrofagos+12309	Macrophages	H. sapiens	1	#E6AB02	Mcrf+12309	0.0186	-0.1741	0.0186	-0.1741	0.1120	0.1588	0.0177	-0.0403	0.0463	0.0526	-0.0222	0.0145	0.0265	-0.0306	0.0427	-0.1491	-0.2283	0.0986	0.2351	-0.0810	0.0096	0.1764	-0.0903	-0.0262	-0.0388	-0.0136	0.0721	-0.0370	-0.0807	-0.0206	0.0111	-0.1163	0.0650	-0.0069	0.0210	0.0345	0.0497	0.1251	0.0533	-0.0997	0.0771	-0.0843	0.1228	0.0668	0.1026	0.1116	-0.0749	-0.1015	-0.0719	-0.1553	-0.0120	0.0320	-0.1285	-0.1443	0.0180	0.0016	-0.0054	0.0093	0.0345	-0.0411	0.0500	0.0051	-0.0029	0.0249	-0.0015	0.0284	0.0074	-0.0488	0.0411	-0.0099	0.0044	0.0274	-0.0013	-0.0548	0.0157	-0.0532	-0.0284	-0.0140	0.0031	0.0545	0.0664	-0.0031	0.0604	-0.0236	0.0142	0.0475	0.0381	0.0056	0.1033	0.0375	-0.1689	-0.0432	0.0257	-0.0253	0.0038	-0.0179	-0.0181	0.0312	-0.0536	-0.0560	-0.0307	-0.0191	-0.2814	-0.2982	0.5112	0.0556
macrofagos+12309+sbv	Macrofagos+12309+SbV	Macrophages	H. sapiens	1	#E6AB02	M+12309+SV	0.0172	-0.1738	0.0172	-0.1738	0.1138	0.1742	0.0457	-0.0404	0.0625	0.0082	-0.0559	0.0699	0.0470	-0.0667	-0.2020	0.1026	0.1195	-0.0976	0.0223	0.0132	0.1115	0.0458	0.0089	0.0223	0.0073	0.0039	-0.0001	-0.0066	0.0086	0.0069	0.0314	-0.0201	0.0012	-0.0254	-0.0307	0.0129	0.0023	-0.0214	0.0028	0.0122	-0.0215	0.0537	-0.0063	-0.0182	-0.0537	-0.0324	0.0164	0.0471	0.0580	0.0332	-0.0063	-0.0337	0.0279	0.0638	-0.0363	-0.0135	0.0018	0.0301	-0.0127	0.0266	-0.0238	-0.0037	0.0463	0.0217	0.0146	-0.0220	0.0218	-0.0841	0.0614	-0.0920	-0.1159	0.0189	-0.0653	-0.1059	0.0810	-0.0882	-0.0268	-0.0793	0.0339	0.0204	0.0553	0.0174	0.0516	-0.0405	0.0118	0.0683	0.0250	-0.0133	0.0659	0.0504	-0.1793	-0.0448	-0.0042	-0.0415	-0.0123	0.1047	0.1371	0.0060	0.0069	-0.0674	-0.0236	0.2019	-0.5815	0.1609	-0.3160	-0.3223
macrofagos+12367+sbv	Macrofagos+12367+SbV	Macrophages	H. sapiens	1	#E6AB02	M+12367+SV	0.0180	-0.1638	0.0180	-0.1638	0.1204	0.1776	0.1101	-0.0499	0.0115	0.0135	-0.0207	0.0466	0.0890	-0.0687	-0.1579	0.1084	0.1439	-0.0930	-0.0098	0.0337	0.1179	0.0221	0.0473	0.0207	-0.0002	0.0035	0.0311	0.0008	-0.0321	0.0138	0.0458	-0.0391	0.0146	-0.0523	-0.0060	0.0037	0.0059	0.0395	-0.0088	0.0047	-0.0133	-0.0047	0.0046	0.0062	-0.0326	-0.0092	-0.0270	-0.0685	0.0066	0.0122	0.0076	-0.0318	0.0010	0.0319	-0.0194	-0.0168	-0.0288	0.0121	-0.0839	0.0229	-0.0326	0.0046	0.0679	0.0437	0.0148	-0.0989	0.0358	-0.0885	0.0680	-0.0964	-0.1292	0.0177	-0.0798	-0.0849	0.1451	-0.0882	0.0229	-0.1705	0.1256	-0.0622	-0.0646	0.0308	-0.1102	0.0981	-0.0252	-0.1302	-0.1070	0.0116	-0.2728	-0.1793	0.5295	0.2141	-0.0275	0.1135	-0.0022	-0.1473	-0.0700	-0.0701	0.0388	0.0720	-0.0336	0.0858	0.0129	-0.2188	0.1037	0.1292
macrofagos+11126	Macrofagos+11126	Macrophages	H. sapiens	1	#E6AB02	Mcrf+11126	0.0189	-0.1696	0.0189	-0.1696	0.1134	0.1613	0.0665	-0.0436	0.0209	0.0501	-0.0172	0.0208	0.0549	-0.0469	0.0440	-0.1253	-0.2031	0.0937	0.2137	-0.0671	0.0232	0.1561	-0.0621	-0.0272	-0.0486	-0.0265	0.0814	-0.0311	-0.0880	-0.0108	0.0167	-0.1223	0.0664	-0.0233	0.0357	0.0213	0.0398	0.1360	0.0413	-0.0858	0.0713	-0.1012	0.1152	0.0673	0.1019	0.0914	-0.1064	-0.1441	-0.0818	-0.1338	-0.0081	0.0198	-0.1309	-0.1439	0.0074	-0.0233	-0.0347	-0.0107	-0.0053	-0.0491	0.0356	0.0009	-0.0037	0.0326	0.0187	0.0084	0.0174	-0.0621	0.0146	-0.0343	0.0048	0.0067	0.0030	-0.0468	0.0151	-0.0403	0.0025	-0.0602	0.0081	-0.0034	0.0025	-0.0172	0.0061	-0.0057	0.0139	0.0100	-0.0151	-0.0134	-0.0132	-0.0027	0.0217	0.0019	-0.0003	0.0106	-0.0263	-0.0184	-0.0085	-0.0029	0.0575	0.0372	0.0174	0.0162	0.4034	0.2844	-0.5203	-0.0224
macrofagos+12251	Macrofagos+12251	Macrophages	H. sapiens	1	#E6AB02	Mcrf+12251	0.0186	-0.1568	0.0186	-0.1568	0.1401	0.1497	-0.0122	-0.0576	-0.0635	0.0456	0.1102	-0.1021	-0.0693	0.1392	0.2815	-0.1439	-0.0539	0.1576	-0.1153	-0.0228	-0.2053	-0.1555	0.0132	0.0067	0.0076	0.0194	-0.1082	0.0302	0.0508	-0.0090	-0.0901	0.0883	-0.0844	0.0393	-0.0600	-0.0115	-0.0688	-0.0381	-0.0105	0.0131	-0.0268	0.0639	-0.0402	0.0245	-0.0353	-0.0431	0.0268	0.0010	0.0462	0.0164	0.0159	-0.0398	0.0063	-0.0030	-0.0376	0.0107	-0.0005	0.0048	-0.0437	0.0084	-0.0520	-0.0258	0.0687	0.0419	-0.0044	-0.0224	0.0419	-0.0952	0.0548	-0.1288	-0.1027	0.0460	-0.0658	-0.1024	0.1038	-0.0777	-0.0216	-0.0922	0.0658	-0.0226	-0.0103	0.0359	-0.0086	-0.0081	0.0286	-0.0279	-0.0179	-0.0959	-0.0124	-0.0506	0.0314	0.0406	0.0536	-0.0712	-0.0218	0.2114	0.1434	-0.3135	0.2330	0.0438	0.0776	-0.1594	0.0155	0.3673	0.2726	-0.0641
macrofagos+12251+sbv	Macrofagos+12251+SbV	Macrophages	H. sapiens	1	#E6AB02	M+12251+SV	0.0136	-0.1529	0.0136	-0.1529	0.1385	0.1698	0.0355	-0.0668	-0.0367	0.0149	0.0967	-0.0905	0.0099	0.0845	0.0864	0.1051	0.2413	-0.0419	-0.2897	0.0885	-0.0211	-0.1606	0.0809	0.0168	0.0290	0.0118	-0.0621	0.0249	-0.0006	0.0178	-0.0039	-0.0037	-0.0083	-0.0062	0.0174	-0.0031	-0.0151	0.1023	0.0142	-0.0245	0.0599	-0.0693	0.0558	0.0613	0.0616	0.0828	-0.0360	-0.0812	-0.1091	-0.1086	-0.0086	0.0517	-0.0735	-0.1553	0.0435	0.0144	-0.0201	-0.0441	0.0414	-0.0743	0.0292	0.0305	-0.0573	-0.0501	0.0093	0.0382	-0.0516	0.0623	-0.0287	0.0785	0.0786	-0.0300	0.0745	0.0947	-0.0967	0.0844	-0.0013	0.0797	-0.0411	0.0358	-0.0252	0.0008	0.0021	-0.0298	0.0063	-0.0228	-0.0494	-0.0369	-0.0130	0.0105	0.0179	0.0097	-0.0074	-0.0262	0.0288	0.0978	-0.0225	0.0107	0.0423	-0.0126	-0.1970	-0.4408	-0.0247	-0.3311	-0.1757	-0.3160
2168e1	2168e1	Eosinophils	H. sapiens	1	#66A61E	2168e1	-0.0881	0.0299	-0.0881	0.0299	-0.1874	0.1306	-0.0103	0.0159	-0.0411	-0.0374	0.0708	-0.1192	0.0423	0.0300	0.0322	0.0152	-0.0117	-0.0031	0.0517	0.0327	0.0461	0.0790	0.0108	-0.0151	-0.0079	0.0723	-0.0921	0.1626	-0.1012	0.0384	0.0282	0.0260	0.0268	-0.0319	0.1502	0.0596	-0.0139	0.0128	0.0953	-0.1026	0.0113	0.1263	-0.0197	0.0912	-0.1128	-0.0644	0.0950	-0.1584	-0.0667	0.0836	0.0154	-0.0147	-0.0378	0.0215	0.0468	-0.0157	-0.0313	-0.0028	0.0718	0.1917	-0.0404	-0.0439	-0.0577	0.0241	-0.0305	-0.0105	0.0840	0.0458	0.0291	0.0085	0.0237	0.0370	0.0597	0.0413	0.0236	0.0185	0.0489	0.0542	0.1312	-0.0721	-0.0566	-0.1507	-0.1301	-0.0694	0.0510	-0.2948	0.0891	0.1059	-0.2848	-0.0358	-0.2525	0.0387	-0.0754	-0.0916	-0.3577	-0.0446	-0.0675	0.0369	0.1930	-0.2665	0.1818	-0.0120	-0.0223	-0.0566	-0.0235	-0.0173
2168m2	2168m2	Monocytes	H. sapiens	1	#7570B3	2168m2	-0.0429	-0.1115	-0.0429	-0.1115	-0.0058	-0.1217	-0.0559	0.1146	-0.0162	-0.0934	0.0682	-0.1245	0.0051	0.0871	-0.0617	-0.0291	-0.0158	-0.0333	-0.0143	-0.0967	0.0129	0.1064	0.0481	-0.0005	0.0100	0.0608	-0.0955	0.1474	0.0076	-0.0145	0.0636	0.0134	0.0667	-0.0208	0.0884	0.0929	0.2298	-0.0132	-0.1013	0.0408	0.0268	0.0002	0.0993	-0.0108	-0.0211	0.0113	-0.0075	0.0904	0.0395	0.0046	0.0027	-0.0638	-0.0306	-0.0922	0.0397	-0.0098	0.0146	-0.0227	-0.0827	0.0286	0.0142	0.0323	-0.0498	-0.0232	0.0390	0.0962	-0.1415	-0.0957	-0.1217	0.0273	0.0351	-0.1140	-0.1626	-0.0681	-0.1171	-0.0278	-0.0300	-0.0587	-0.1098	-0.0585	0.0601	0.0565	-0.0869	0.0232	0.2253	-0.0661	0.0941	-0.0480	-0.0436	-0.0303	0.0292	-0.0025	-0.0570	-0.0114	0.0801	-0.0927	0.0911	-0.2752	-0.3288	0.1183	0.4690	-0.1472	-0.0783	-0.0716	-0.0836	-0.0186
2168n2	2168n2	Neutrophils	H. sapiens	1	#D95F02	2168n2	-0.1223	0.1271	-0.1223	0.1271	0.1263	-0.0051	-0.0271	-0.0033	0.0168	-0.0731	0.0626	-0.1255	-0.0461	0.0925	0.0188	0.1175	0.0616	-0.0091	0.1232	-0.0647	-0.0139	0.2003	0.0115	0.0825	0.0053	-0.0276	-0.0586	0.1571	-0.0756	-0.0813	-0.0087	-0.1171	-0.1812	-0.0562	0.0857	-0.0089	-0.1652	0.0020	-0.2221	0.0289	0.0630	-0.0169	-0.0483	0.0395	-0.0570	-0.0153	-0.0102	0.1030	0.0609	-0.0088	0.0519	-0.0286	-0.0372	-0.1935	0.0123	0.0240	0.0177	0.1766	-0.1983	-0.2336	-0.0458	0.0332	-0.1091	-0.0442	-0.2181	-0.1793	0.1029	0.3133	-0.2090	-0.0544	-0.0177	-0.1701	-0.0763	0.0686	0.2879	-0.0460	0.1539	-0.0066	-0.0278	-0.0688	0.1040	0.0017	0.0525	0.0627	0.0121	0.0547	-0.0885	0.0359	0.0512	-0.0241	-0.0375	-0.0089	0.0627	0.0201	-0.0179	0.0045	-0.0187	0.0136	0.0611	-0.0340	-0.0251	0.0086	-0.0010	-0.0059	-0.0047	0.0046
2168e2	2168e2	Eosinophils	H. sapiens	1	#66A61E	2168e2	-0.0953	0.0282	-0.0953	0.0282	-0.1827	0.1425	-0.0394	0.0460	-0.0296	-0.0931	0.0734	-0.1111	-0.0046	0.0694	-0.0428	0.0416	-0.0393	0.0848	-0.0018	0.0844	0.0603	0.1711	0.0228	-0.0479	0.0537	-0.0177	-0.1077	0.1191	-0.1029	0.0185	0.0121	0.0612	0.0489	-0.0786	0.1334	0.0306	-0.0216	0.0267	0.0653	-0.0951	0.0849	0.1702	-0.0608	0.0133	-0.0818	-0.0312	0.0663	-0.0719	-0.0840	0.0434	0.0362	-0.0406	-0.0201	-0.0390	-0.0099	0.0180	-0.0343	0.0072	0.0954	0.1249	-0.0056	-0.0155	0.0118	-0.0192	-0.0278	0.0128	0.0485	0.0229	0.0535	-0.0148	-0.0201	-0.0138	-0.0569	0.0081	-0.0336	-0.0120	0.0110	-0.0193	-0.1073	0.0127	0.0650	0.0729	0.0759	0.0673	-0.0456	-0.0397	0.1179	-0.0715	-0.1574	0.1003	0.0515	-0.1566	-0.2111	-0.1279	0.2532	0.1624	0.1022	-0.0700	-0.2200	0.2773	-0.4541	0.1129	0.0587	0.0690	0.0544	0.0355
2168m3	2168m3	Monocytes	H. sapiens	1	#7570B3	2168m3	-0.0399	-0.1063	-0.0399	-0.1063	0.0045	-0.1236	-0.0784	0.1020	-0.0448	-0.0699	0.0814	-0.1642	-0.0210	0.0943	-0.0229	-0.0319	0.0170	-0.0151	0.0104	-0.0981	-0.0004	0.0464	0.0476	0.0174	-0.0507	0.1112	-0.1037	0.1419	0.0187	-0.0163	0.1368	0.0239	0.0913	-0.0551	0.0551	0.1335	0.2610	-0.0376	-0.0360	0.0450	-0.1000	-0.0753	0.1451	-0.0346	-0.0390	0.0168	-0.0231	0.0298	0.0466	0.0443	-0.0356	-0.0722	-0.0240	0.0811	0.0550	-0.0509	0.0498	0.0078	-0.1449	-0.0121	-0.0098	0.0442	0.0032	0.0254	0.1135	0.1098	-0.2225	-0.1648	-0.1011	-0.0026	-0.0025	-0.1253	-0.1268	-0.0779	-0.1004	0.0644	-0.0616	-0.0135	-0.0326	-0.0292	0.0156	0.0313	-0.0651	-0.0689	0.0538	0.0834	-0.1778	0.0593	0.0689	-0.0329	0.0160	0.0366	0.0249	0.1246	-0.1795	0.0705	0.0417	0.2565	0.2537	-0.1130	-0.4018	0.1000	0.0540	0.0740	0.0837	0.0216
2168n3	2168n3	Neutrophils	H. sapiens	1	#D95F02	2168n3	-0.1074	0.1225	-0.1074	0.1225	0.1206	-0.0219	-0.0655	0.0023	-0.0073	-0.0602	0.0819	-0.2058	-0.0670	0.0523	0.0498	0.0945	0.1404	-0.0455	0.1638	-0.0789	0.0115	0.1673	-0.0130	-0.0079	-0.1034	0.0452	-0.0157	0.1585	-0.0615	-0.1184	0.1131	-0.1510	-0.1687	0.0138	-0.0581	-0.0830	-0.2026	-0.0501	-0.0876	0.0473	0.0426	-0.0909	-0.1255	-0.0516	0.0150	0.1059	-0.1155	0.1092	0.0849	-0.0845	-0.0410	0.0403	0.1095	0.0755	-0.0224	-0.0468	-0.0152	-0.0894	-0.1006	-0.2196	-0.0131	-0.1122	-0.0028	0.0701	0.1062	0.0682	0.0055	-0.2046	0.2023	0.0658	0.0379	0.1888	0.1755	-0.0839	-0.2172	0.0241	-0.1935	0.0360	0.1788	0.1157	-0.1847	-0.0743	-0.0211	-0.1084	-0.1166	-0.0690	0.1246	-0.0339	-0.0864	0.0134	0.0170	-0.0365	-0.0325	-0.0661	0.0460	-0.0207	0.0086	0.0049	-0.0518	0.0403	0.0017	0.0016	-0.0024	0.0163	0.0060	-0.0046
2168e3	2168e3	Eosinophils	H. sapiens	1	#66A61E	2168e3	-0.0918	0.0273	-0.0918	0.0273	-0.1806	0.1310	-0.0976	0.0428	-0.0115	-0.0985	0.0730	-0.1220	-0.0424	0.0520	-0.0183	0.0922	-0.0142	0.0355	0.0322	0.0368	0.0423	0.0991	0.0101	-0.0349	0.0073	0.0271	-0.0705	0.1377	-0.1447	-0.0214	0.0195	0.0748	0.0442	-0.0563	0.1811	-0.0108	-0.0251	-0.0212	0.0655	-0.1322	0.0357	0.1655	-0.0746	-0.0268	-0.0601	-0.0181	0.0486	-0.0788	-0.1032	0.0277	-0.0102	-0.0482	0.0150	0.0550	-0.0185	-0.0052	-0.0058	-0.0443	0.1495	0.0776	0.0263	-0.0532	0.0921	0.0196	0.0281	-0.0099	0.0470	-0.0602	0.1046	-0.0280	0.0108	0.0978	0.1059	0.0255	-0.0042	0.0042	-0.0365	-0.0142	-0.0419	0.0751	-0.0028	0.0957	0.0942	0.0522	-0.1183	0.2962	-0.1858	-0.0719	0.4230	-0.0686	0.1713	0.1248	0.2379	0.1962	0.0901	-0.0397	-0.1307	0.0249	0.0874	-0.0476	0.2366	-0.0868	-0.0268	-0.0237	-0.0477	-0.0168
2008-1	2008-1	Biopsy	H. sapiens	1	#E7298A	2008-1	0.1191	0.0281	0.1191	0.0281	0.0059	-0.0237	-0.1585	-0.1205	-0.1270	-0.0184	-0.0896	-0.0998	0.1736	0.0017	-0.0022	0.0256	-0.1345	-0.1382	0.0073	0.1264	-0.0854	-0.0299	0.0397	-0.0062	0.0552	0.0799	0.0197	0.0398	0.0236	0.0358	-0.2112	-0.0502	-0.0808	-0.1036	-0.1348	0.1312	0.0634	0.2342	-0.0593	-0.1731	-0.1343	-0.0372	-0.1694	-0.1426	-0.1617	-0.0562	-0.2186	-0.0130	0.0017	0.0483	-0.0833	0.0058	-0.0178	0.0069	-0.1158	-0.1147	-0.0710	0.0118	0.0837	-0.0182	-0.1312	0.0636	-0.1800	0.1844	-0.0033	-0.0485	-0.0482	-0.0587	-0.0644	0.0760	0.1130	0.0350	-0.0105	0.1111	0.0325	0.1367	0.0927	-0.2949	0.1316	0.0614	-0.0622	0.1174	-0.2389	0.1439	0.0076	0.0598	0.0709	0.0111	0.1069	0.0937	-0.0237	-0.0714	-0.0024	-0.0801	0.0207	-0.0181	-0.0160	0.0183	-0.0157	-0.0045	-0.0129	0.0096	-0.0030	-0.0092	0.0051	-0.0118
2008-2	2008-2	Biopsy	H. sapiens	1	#E7298A	2008-2	0.1456	0.0635	0.1456	0.0635	-0.0156	-0.0094	-0.1433	0.0480	0.1300	0.0165	-0.0619	-0.0358	0.2935	0.0919	-0.0381	0.0757	-0.0974	-0.0981	0.0520	-0.0021	-0.0839	-0.0334	-0.0260	0.0432	-0.0522	0.0381	-0.1578	-0.0779	0.1952	0.1478	0.0010	0.0159	0.1083	0.0859	0.0624	0.0586	-0.1408	0.1364	-0.1014	-0.0213	-0.1268	-0.0814	-0.2058	-0.0576	-0.0704	0.0766	-0.0003	-0.0625	-0.0396	-0.1724	0.0522	-0.1092	0.0535	-0.0546	0.1527	0.0329	-0.0614	-0.0765	-0.1273	-0.0107	0.0575	-0.0554	0.2442	-0.0079	-0.1318	0.0131	0.1602	-0.0619	-0.0200	-0.1756	0.0164	0.0607	-0.2166	0.2360	-0.2159	0.0585	-0.0249	0.0721	-0.0232	0.0392	0.1801	0.0013	0.1826	-0.1780	-0.0355	-0.0041	-0.0421	0.0221	-0.1031	-0.0298	0.0165	0.0545	0.0223	0.0363	-0.0388	0.0023	0.0093	-0.0058	0.0065	0.0096	0.0258	0.0083	-0.0127	0.0041	-0.0051	0.0150
2008-3	2008-3	Biopsy	H. sapiens	1	#E7298A	2008-3	0.1563	0.0800	0.1563	0.0800	-0.0199	0.0127	-0.0217	0.1784	0.2605	-0.0339	0.0217	0.0080	-0.0041	0.0127	0.0262	-0.0243	0.0375	-0.0575	-0.0185	0.0131	-0.1214	0.0181	-0.1675	-0.0087	-0.0270	0.0365	-0.1178	-0.0304	0.1208	0.1197	-0.0056	-0.1251	0.0868	0.0191	0.0458	0.1667	-0.1065	0.1229	-0.0118	-0.0896	-0.1712	-0.0095	-0.1336	-0.1147	-0.1166	-0.0790	-0.1724	-0.0513	-0.0674	-0.1966	0.0063	-0.1150	0.0629	-0.0033	-0.0747	0.0417	0.1241	0.0879	0.0534	0.0331	0.0338	-0.0106	-0.0839	-0.2576	0.1874	0.0538	-0.1913	0.1371	0.0851	0.1568	-0.0887	-0.0468	0.1984	-0.2720	0.1905	-0.1914	-0.0351	0.1481	-0.0924	-0.1166	-0.1108	-0.0410	-0.0150	0.0736	0.0293	0.0134	0.0042	-0.0234	-0.0192	-0.0251	0.0239	0.0085	-0.0265	0.0051	0.0058	0.0176	-0.0069	-0.0180	0.0040	-0.0124	-0.0037	0.0006	-0.0026	0.0113	-0.0043	0.0016
1029-1	1029-1	Biopsy	H. sapiens	1	#E7298A	1029-1	0.1269	0.0250	0.1269	0.0250	-0.0051	-0.0114	-0.0952	-0.0031	0.0509	-0.1436	-0.1032	-0.1238	-0.0479	-0.1919	0.0546	-0.1055	-0.0557	-0.0767	-0.0096	0.0922	-0.0225	0.0003	0.1396	0.0216	0.0116	0.0709	0.0479	0.0459	0.0686	0.1191	0.0577	-0.0943	-0.0131	-0.0473	0.0065	-0.0527	0.0065	0.0147	-0.0047	-0.0685	0.0776	-0.1264	0.0344	-0.0806	0.0474	0.1435	0.3222	0.1105	-0.1307	0.1643	0.0416	0.0424	0.0067	0.0055	-0.0518	0.1857	-0.0464	-0.0358	-0.0658	0.0168	0.0131	0.0307	0.0451	-0.0487	-0.0465	0.0885	0.0381	-0.0217	-0.1684	0.1737	-0.0832	0.0612	0.0911	-0.0749	0.0149	-0.0309	0.0576	-0.1918	-0.0059	0.0819	-0.0652	-0.2006	0.1481	0.0909	0.0549	0.3789	0.1492	-0.0802	-0.2902	0.0011	-0.0376	0.1244	0.0416	0.0397	0.0045	0.0317	-0.0269	-0.0091	0.0761	-0.0070	-0.0046	-0.0322	-0.0090	0.0011	0.0019	-0.0013
1029-2	1029-2	Biopsy	H. sapiens	1	#E7298A	1029-2	0.1400	0.0472	0.1400	0.0472	-0.0231	0.0020	-0.1285	0.0811	0.2471	-0.1109	-0.0626	-0.1030	0.0477	-0.2076	0.0523	-0.0773	0.0400	0.0013	-0.0160	0.1132	-0.1536	-0.0125	0.0202	0.0442	0.0355	0.0565	0.1157	0.0602	0.0132	0.0391	0.0405	0.0132	-0.0179	0.0274	0.0370	-0.0636	0.0042	0.0421	-0.0811	0.0210	0.0766	-0.0162	0.0570	-0.0209	0.0060	0.1381	0.1589	0.0484	-0.0535	0.0861	-0.0586	0.1739	-0.1185	-0.0117	-0.0155	-0.0710	0.0268	0.0351	0.0114	-0.0072	-0.0421	0.0028	0.0451	0.0915	0.0451	-0.0046	0.0450	-0.0096	-0.0009	0.0142	-0.0331	0.0136	-0.0759	0.0504	-0.0184	-0.0337	-0.0413	-0.0562	-0.0298	-0.0872	-0.1454	-0.1827	0.1267	0.1559	-0.0005	-0.5333	-0.2133	-0.0116	0.3111	0.0010	0.0629	-0.1350	-0.0003	0.0447	0.0257	0.0425	0.0731	0.0124	-0.0389	-0.0070	-0.0227	0.0332	-0.0352	0.0191	-0.0153	0.0097
1029-3	1029-3	Biopsy	H. sapiens	1	#E7298A	1029-3	0.1444	0.0625	0.1444	0.0625	-0.0332	0.0076	0.0260	0.0650	0.2057	-0.1751	-0.1363	-0.1271	0.0089	-0.1901	0.0582	-0.0745	0.0868	0.0042	-0.0415	0.0777	-0.1107	0.0053	-0.0185	0.0343	0.0058	0.0024	0.0436	0.0600	-0.0006	0.0101	-0.0311	-0.0157	0.0109	0.0571	0.0219	-0.1168	0.0458	0.0085	-0.0491	-0.0098	0.0871	-0.0467	0.0647	0.0921	-0.0155	0.0585	0.1108	0.0829	-0.0367	0.0410	-0.0317	0.0874	-0.1219	0.0505	-0.2206	-0.0549	0.0428	0.1347	0.0708	-0.0509	-0.0115	-0.0067	-0.0238	0.1036	0.0482	-0.0297	0.0246	-0.0030	0.2082	-0.2753	0.0301	-0.1166	-0.0771	-0.0041	0.0364	0.0389	-0.0175	0.2851	0.0177	-0.0285	0.1191	0.3497	-0.3063	-0.2318	-0.0460	0.1863	0.0799	0.0794	-0.0786	-0.0246	-0.0102	0.0355	-0.0306	-0.0703	0.0049	-0.0354	-0.0628	0.0025	-0.0087	0.0107	0.0089	-0.0223	0.0317	-0.0052	-0.0024	-0.0042
1036-1	1036-1	Biopsy	H. sapiens	1	#E7298A	1036-1	0.1285	0.0521	0.1285	0.0521	-0.0005	-0.0227	-0.1201	-0.0472	-0.0881	0.1300	0.1829	0.0203	0.0161	0.0041	-0.0783	0.0802	-0.1388	-0.0862	0.0390	0.0216	-0.0027	-0.0037	0.1220	0.1284	-0.2077	-0.2186	-0.1313	0.0138	-0.0948	-0.0136	-0.1052	0.0432	0.1687	0.0574	-0.0642	-0.0203	-0.0017	0.0974	-0.0996	-0.0112	0.0771	0.0465	0.0063	-0.0356	0.1592	0.0140	0.0857	0.1486	-0.0020	0.1661	-0.0979	0.0784	0.0205	0.0454	-0.0098	-0.0740	0.0890	0.0482	0.1780	-0.0953	-0.1697	0.0624	-0.0948	-0.0575	0.2278	-0.0046	-0.1420	0.1276	0.1061	0.0496	0.0193	0.0458	0.0645	-0.0966	0.0584	-0.0359	0.0132	-0.1034	0.0531	0.1455	0.3792	-0.0113	0.1900	-0.1871	-0.0405	-0.1329	-0.0741	0.0534	-0.0942	-0.0593	0.0079	0.0635	-0.0128	0.0549	-0.0144	-0.0239	-0.0011	-0.0089	0.0019	0.0203	0.0123	-0.0419	0.0299	0.0174	0.0053	-0.0141
1036-2	1036-2	Biopsy	H. sapiens	1	#E7298A	1036-2	0.1418	0.0728	0.1418	0.0728	-0.0024	0.0072	0.0891	0.0293	-0.0439	0.1659	0.1571	-0.0182	0.2011	0.0387	-0.0950	0.1446	-0.0786	-0.0469	0.0351	-0.0186	-0.1621	-0.0026	0.0422	0.0901	-0.2778	-0.2041	-0.1309	0.0176	-0.0547	-0.0478	0.0132	-0.0097	0.2085	0.0927	-0.0647	-0.1509	-0.0361	-0.0664	0.0253	0.0446	0.0212	0.0837	0.0442	-0.1258	0.0052	0.1437	0.1334	0.0050	0.0498	0.0241	-0.0280	0.1126	-0.0132	-0.0522	0.2112	0.0513	0.0883	-0.0883	-0.0299	0.0918	0.1050	-0.0579	0.1212	0.1086	-0.1830	0.0417	0.0642	-0.0375	-0.1665	0.0413	-0.1118	-0.0953	0.1403	-0.1228	0.0879	0.0046	-0.0039	0.0639	0.0425	-0.0520	-0.2356	0.1382	-0.2841	0.1211	0.0381	0.0672	0.0507	-0.0216	0.1175	0.0691	-0.0096	-0.0833	-0.0254	-0.0896	0.0126	0.0006	-0.0009	-0.0009	0.0083	-0.0027	-0.0310	0.0095	0.0120	-0.0280	-0.0065	0.0033
1036-3	1036-3	Biopsy	H. sapiens	1	#E7298A	1036-3	0.1404	0.0838	0.1404	0.0838	-0.0151	0.0220	0.2622	0.0486	0.0173	0.0030	0.0501	-0.0689	-0.0924	-0.1870	-0.0078	-0.0038	0.1076	0.1046	-0.0188	-0.0339	-0.1327	0.0079	-0.0213	0.0633	-0.2054	-0.1569	-0.1099	0.0392	-0.1466	0.0772	-0.0239	-0.0908	0.1568	0.1153	-0.0491	-0.2769	0.1134	-0.0358	-0.0305	0.1154	-0.0869	0.0720	0.1267	-0.0374	-0.1807	-0.1018	-0.2553	-0.1288	-0.0507	0.0331	0.0688	-0.1115	0.0516	0.0415	-0.1671	0.0852	-0.1523	0.0676	-0.0483	0.0244	0.0449	0.0033	-0.2962	-0.0003	0.0035	-0.1338	0.0503	-0.1481	-0.0372	0.0604	0.0650	0.0633	-0.1449	0.2070	-0.1023	0.0297	0.0015	-0.0336	-0.0443	-0.0205	-0.0004	-0.1269	0.1749	0.0408	-0.0100	0.0495	0.0322	-0.0720	-0.0174	-0.0182	-0.0244	0.0024	0.0223	0.0407	0.0021	0.0027	0.0007	-0.0096	0.0130	-0.0118	0.0095	0.0113	-0.0201	0.0053	0.0275	0.0027
1037-1	1037-1	Biopsy	H. sapiens	1	#E7298A	1037-1	0.1313	0.0656	0.1313	0.0656	-0.0066	-0.0112	0.1336	-0.0509	-0.1484	-0.0043	0.0674	-0.1061	0.0409	-0.1641	0.0299	0.0219	-0.0069	0.1481	0.0176	-0.1435	0.0445	-0.0163	0.1447	-0.0567	0.0228	-0.0448	-0.0255	-0.1058	-0.0554	0.1959	0.2351	-0.0309	-0.2031	-0.0205	0.0898	0.0090	0.1144	-0.0295	-0.0461	-0.0117	-0.0727	-0.0411	0.0025	-0.0438	0.0997	-0.0740	0.0306	-0.0158	-0.1488	0.0116	0.1025	-0.1485	0.1559	-0.0266	-0.0619	0.3198	-0.0032	-0.0889	0.0066	-0.1249	0.0522	0.0596	0.2154	-0.1951	0.0785	0.1213	-0.0729	0.1999	0.1110	0.0499	-0.0431	0.0946	-0.0717	0.1332	0.0586	0.0053	0.0514	-0.1158	0.1704	0.0672	0.0161	0.1617	-0.2181	-0.0493	-0.0243	-0.1397	-0.0250	0.0547	0.1613	0.0454	-0.0361	-0.0728	-0.0253	-0.0281	-0.0129	0.0022	0.0206	-0.0125	-0.0252	0.0049	0.0083	0.0429	-0.0024	-0.0009	-0.0070	0.0069
1037-2	1037-2	Biopsy	H. sapiens	1	#E7298A	1037-2	0.1485	0.0915	0.1485	0.0915	-0.0123	0.0081	0.0829	0.0364	-0.0049	0.1232	0.0744	-0.0266	0.4279	0.0592	-0.0101	0.1784	-0.0641	0.1056	0.0119	-0.0759	-0.1441	-0.0321	0.0121	-0.2203	0.1509	0.0279	0.0332	-0.1656	-0.0631	0.0537	0.2643	0.1265	-0.3993	0.0583	0.1248	0.0299	0.0443	0.0100	-0.0342	-0.0034	0.0514	0.1624	0.1131	0.0422	0.0394	-0.0032	-0.0775	0.0081	0.1664	0.0358	-0.0588	0.1162	-0.1328	0.0869	-0.1657	-0.0704	0.0493	-0.0004	0.0091	0.0361	-0.0797	0.0261	-0.1249	0.0693	-0.0557	0.0039	-0.0242	-0.0574	-0.0533	0.0807	0.0070	-0.0330	0.0684	-0.0812	-0.0447	-0.0519	-0.0486	0.0708	-0.1054	-0.0388	0.0417	-0.0757	0.1405	-0.0100	-0.0241	0.1093	0.0102	-0.0044	-0.0891	-0.0362	0.0160	0.0490	0.0057	0.0201	0.0080	-0.0103	-0.0183	0.0051	0.0068	-0.0046	0.0068	0.0037	-0.0056	0.0016	0.0111	-0.0119
1031-1	1031-1	Biopsy	H. sapiens	1	#E7298A	1031-1	0.1366	0.0627	0.1366	0.0627	0.0019	-0.0082	0.0118	-0.0268	-0.0831	0.0253	0.1733	0.0049	-0.1035	-0.1821	0.0306	-0.0501	-0.0079	-0.0271	0.0075	-0.0618	0.1935	-0.0374	0.1041	0.0604	-0.0109	-0.0798	-0.1656	-0.0589	0.0954	0.0562	-0.0658	-0.1723	-0.0520	-0.2576	-0.1125	0.1810	-0.0259	0.0094	0.1144	-0.2510	-0.0176	-0.0036	-0.0484	-0.0257	0.1950	-0.0712	0.0558	0.0033	0.0973	0.0674	0.0670	-0.0886	0.0058	0.0730	-0.1260	0.1117	-0.1782	-0.0661	-0.0251	-0.0431	-0.1315	0.1067	-0.0648	0.0661	-0.2161	-0.0797	0.0484	-0.1288	-0.0900	-0.2581	0.0777	-0.1239	0.1507	-0.1242	-0.1225	-0.0034	-0.1383	0.2259	-0.1794	-0.0705	-0.0683	-0.0038	0.0593	0.0090	0.0167	-0.1126	-0.0683	0.0256	0.0635	-0.0357	0.0052	-0.0252	0.0133	0.0131	-0.0018	-0.0176	0.0064	-0.0166	-0.0233	0.0121	0.0136	0.0130	0.0030	-0.0198	0.0052	0.0079
1031-3	1031-3	Biopsy	H. sapiens	1	#E7298A	1031-3	0.1403	0.0565	0.1403	0.0565	-0.0191	0.0082	-0.0051	0.0828	0.1810	-0.1298	-0.0318	-0.0315	-0.1795	-0.2098	0.0271	-0.0779	0.0946	0.0783	-0.0069	-0.0946	0.1246	-0.0425	-0.0511	0.0543	0.0031	-0.0373	-0.2349	-0.1136	0.0444	0.1020	-0.0291	0.0147	0.0247	-0.0966	0.1261	-0.0376	-0.0134	-0.0925	-0.0326	-0.1086	0.0480	0.1468	-0.0765	0.2118	0.2862	-0.1797	-0.1988	0.0115	0.2901	-0.0981	-0.0623	0.1003	-0.0905	0.0181	0.1897	-0.2630	0.1577	-0.0899	-0.0605	0.0753	-0.0166	-0.0533	0.1109	0.1014	-0.0261	0.0294	0.0055	0.0454	-0.0974	0.1783	-0.0312	0.0680	-0.0292	0.0998	-0.0059	0.0231	0.0727	-0.1641	0.1047	0.0586	0.0434	0.0167	-0.0605	0.0272	-0.0127	0.0809	0.0322	-0.0253	-0.0374	0.0312	0.0145	-0.0045	0.0003	-0.0289	-0.0014	0.0124	0.0057	0.0047	0.0177	-0.0063	-0.0200	-0.0337	0.0020	-0.0094	-0.0013	-0.0042
2002-1	2002-1	Biopsy	H. sapiens	1	#E7298A	2002-1	0.1239	0.0441	0.1239	0.0441	0.0107	-0.0017	0.0302	-0.0719	-0.1928	0.0486	0.0772	-0.0694	-0.0524	-0.1526	-0.0630	-0.0001	-0.0444	-0.0270	-0.0189	0.1084	-0.0732	0.0297	0.1187	0.0198	0.1298	0.1001	0.2449	0.1610	-0.0506	-0.0922	-0.1823	0.0681	-0.0734	-0.0726	-0.1122	-0.0789	0.1515	0.1132	-0.0520	-0.0219	0.0107	0.1849	-0.1495	-0.1309	0.1519	0.0712	0.0825	-0.1139	0.2325	-0.2270	0.1046	-0.0187	-0.0970	0.0630	0.0640	-0.0604	0.0493	0.1167	-0.2524	0.1770	0.2718	-0.1673	-0.0393	-0.3390	0.0692	-0.0274	-0.0335	-0.0239	0.0090	-0.0338	-0.0276	-0.0100	0.0193	0.0204	-0.0001	0.0358	-0.0020	0.0853	0.0052	0.0477	0.0374	-0.0040	0.0364	-0.0616	-0.0336	-0.0229	0.0086	0.0178	0.0096	-0.0065	-0.0134	0.0060	0.0033	0.0228	-0.0078	0.0024	-0.0064	0.0011	0.0028	0.0000	0.0098	0.0335	0.0095	0.0037	0.0012	0.0011
1019-2	1019-2	Biopsy	H. sapiens	1	#E7298A	1019-2	0.1278	0.0503	0.1278	0.0503	0.0180	-0.0106	-0.0210	-0.0363	-0.1756	0.1004	0.1321	-0.0109	0.0195	0.0108	-0.0493	0.0558	-0.1600	-0.1145	0.0263	0.0633	0.0288	-0.0228	0.2357	0.0916	-0.0424	-0.0218	0.0730	0.0088	0.1126	-0.0913	0.0075	0.0475	0.0981	-0.1390	0.0460	0.1306	-0.1570	-0.1069	0.0605	0.0419	0.0516	-0.0327	0.0132	0.2892	0.0268	-0.0917	-0.1456	0.1604	-0.0741	-0.0247	0.0249	0.0781	-0.0214	-0.0031	-0.0994	0.0067	0.0814	0.1053	-0.0214	-0.0181	0.1324	-0.0853	0.0282	0.1335	0.1957	0.1411	-0.0187	0.1389	0.2348	-0.0692	0.0294	0.0247	-0.2690	0.1724	-0.0152	-0.0829	0.0384	0.0796	-0.1249	-0.1762	-0.2638	-0.1562	0.0174	0.1352	0.0391	0.1238	0.0880	-0.0318	-0.0143	-0.0044	-0.0172	0.0210	0.0376	0.0259	0.0074	0.0313	-0.0103	0.0066	0.0065	-0.0276	0.0061	0.0138	-0.0176	0.0039	0.0060	0.0153
1019-3	1019-3	Biopsy	H. sapiens	1	#E7298A	1019-3	0.1415	0.0608	0.1415	0.0608	0.0132	-0.0034	0.0162	0.0620	-0.0370	0.0464	0.1173	-0.0322	0.0227	-0.1278	0.0043	-0.0772	-0.0179	-0.0244	0.0025	0.0621	-0.0148	0.0187	0.1697	0.0782	0.0659	0.0865	0.2920	0.0949	0.1715	-0.1317	0.0352	0.0210	0.1050	-0.0455	0.0901	0.0421	-0.1415	-0.3088	0.1724	0.0515	-0.0506	-0.1003	0.0648	0.1814	-0.3261	-0.1101	-0.1982	0.0298	-0.0416	-0.0887	-0.0353	0.0264	-0.0385	-0.0389	-0.0413	0.0683	0.0445	0.0002	0.0568	0.0272	0.0295	0.0194	0.0926	-0.0366	-0.1779	-0.0145	0.0230	-0.0865	-0.1924	0.1293	0.0186	-0.0309	0.2039	-0.1088	0.0022	0.0316	-0.0463	-0.0624	0.0939	0.1417	0.2723	0.1180	0.0482	-0.1081	-0.0521	-0.0997	-0.0670	0.0126	0.0124	0.0004	0.0346	-0.0098	-0.0416	-0.0264	0.0157	-0.0159	0.0092	-0.0216	-0.0055	0.0220	0.0098	-0.0052	0.0094	0.0039	0.0010	-0.0113
2004-1	2004-1	Biopsy	H. sapiens	1	#E7298A	2004-1	0.1325	0.0695	0.1325	0.0695	0.0242	0.0053	0.2118	-0.0191	-0.2851	0.0669	-0.0478	-0.0393	-0.1909	0.0874	-0.1615	0.0923	-0.0784	0.0366	0.0573	-0.0394	-0.0211	0.0358	-0.0467	-0.0568	0.1816	0.2984	0.0263	0.0237	0.2380	0.2025	-0.0817	0.0729	0.1480	0.1552	0.2500	-0.2800	-0.0294	0.0043	-0.1885	0.0338	0.1298	-0.2294	-0.1478	0.0948	0.1095	0.0508	0.0486	-0.0915	0.0374	0.0189	0.0075	-0.0988	0.0998	-0.0110	0.0849	-0.0503	-0.0229	0.0019	0.1433	0.0022	-0.1684	0.0936	-0.1064	0.1076	0.0157	-0.0307	-0.0044	-0.0465	0.0127	-0.0074	-0.0481	-0.0431	0.0632	-0.0865	0.0110	-0.0333	-0.0460	0.0310	-0.0354	-0.0754	-0.0279	0.0015	-0.0159	0.0503	-0.0057	-0.0132	-0.0363	0.0021	0.0321	0.0111	-0.0134	-0.0149	0.0011	-0.0087	0.0080	-0.0120	0.0145	0.0236	-0.0064	-0.0109	-0.0193	0.0043	-0.0145	0.0079	0.0053	0.0007
2004-2	2004-2	Biopsy	H. sapiens	1	#E7298A	2004-2	0.1483	0.1020	0.1483	0.1020	-0.0104	0.0471	0.2368	0.2473	0.1889	0.1606	0.2480	0.1544	-0.1642	0.2166	-0.1068	0.1134	-0.0344	-0.0607	-0.0574	0.0750	-0.1827	0.0428	-0.3125	-0.2386	0.0652	0.1849	0.0094	0.0418	-0.0542	-0.0405	-0.1095	-0.1620	-0.0649	-0.2770	-0.1466	0.0337	0.1435	-0.1065	0.1318	-0.0856	0.0167	-0.1021	-0.0027	0.0026	0.0516	0.0000	0.0958	0.1479	-0.0819	0.1243	0.0030	0.0711	0.0104	-0.0227	0.0290	0.0294	-0.0218	-0.0002	-0.0331	-0.0304	0.0368	-0.0493	0.0675	0.0349	0.0218	0.0065	0.0514	0.0222	0.0088	-0.0021	0.0194	0.0583	-0.1029	0.1001	-0.0234	0.0545	0.0383	-0.0982	0.0761	0.0591	0.0604	0.0125	0.0036	-0.0490	-0.0047	-0.0187	-0.0044	0.0147	-0.0143	0.0072	-0.0048	0.0113	0.0131	0.0164	-0.0088	0.0000	-0.0085	0.0033	0.0039	0.0069	0.0082	-0.0196	0.0131	0.0006	-0.0073	0.0012
2001-2	2001-2	Biopsy	H. sapiens	1	#E7298A	2001-2	0.1472	0.0730	0.1472	0.0730	0.0131	0.0375	0.2464	0.1519	0.0396	-0.0214	0.0016	0.0197	-0.1332	0.0900	0.0853	-0.1031	-0.0590	0.0018	0.0129	-0.0302	0.2351	-0.0217	0.2574	0.0438	-0.0203	-0.0849	0.1074	-0.0093	-0.0840	0.0209	0.0419	0.0731	-0.1967	0.0156	-0.0775	-0.0963	0.0883	-0.0120	0.0042	-0.0062	-0.1288	-0.0163	-0.0905	-0.1910	-0.2719	0.0692	-0.0319	-0.0438	-0.0545	0.0564	-0.1789	0.0454	-0.0512	-0.1355	0.2177	-0.3775	-0.0547	-0.0705	0.1456	-0.1156	-0.1388	0.0222	0.1950	-0.1616	0.0369	0.0134	-0.0281	0.0562	0.0047	-0.1759	0.0651	-0.0218	-0.0144	-0.0026	-0.0206	-0.0299	0.0094	0.0499	-0.0741	-0.0395	-0.0665	-0.0913	0.0374	0.0385	0.0614	0.0851	0.0645	0.0201	-0.0343	-0.0081	-0.0212	0.0182	0.0049	-0.0070	-0.0126	-0.0021	-0.0039	-0.0006	-0.0081	-0.0022	0.0053	0.0187	-0.0021	-0.0121	0.0162	-0.0041
2001-3	2001-3	Biopsy	H. sapiens	1	#E7298A	2001-3	0.1492	0.0658	0.1492	0.0658	0.0002	0.0505	0.2557	0.1789	0.0730	-0.1203	-0.2821	-0.0105	-0.1801	0.3131	0.0682	0.0099	-0.1195	-0.1297	0.0191	0.0005	0.2336	-0.0631	0.1431	0.0382	-0.0689	-0.1007	-0.0955	-0.0796	-0.0784	-0.2481	-0.0012	0.2374	-0.0738	0.1241	-0.0334	0.1096	0.0581	0.1490	-0.0147	-0.0009	0.0010	-0.0741	-0.1068	0.0864	0.0013	0.0520	0.0948	0.0218	0.0147	-0.1443	0.0855	-0.0096	-0.0573	0.0923	-0.1688	0.2253	0.0394	0.0637	-0.1014	0.1023	0.0835	-0.0071	-0.0973	0.1899	-0.0684	0.0377	0.0308	-0.0196	-0.0072	0.1626	-0.0355	0.0020	0.0470	-0.0285	-0.0044	0.0274	-0.0162	-0.0479	0.0294	0.0479	0.0302	0.0434	0.0159	-0.0101	-0.0410	-0.1153	-0.0485	0.0105	0.0424	0.0058	-0.0070	0.0001	0.0069	0.0236	0.0030	-0.0072	0.0061	0.0143	-0.0003	0.0014	0.0002	0.0021	0.0023	0.0067	-0.0116	-0.0012
2003-3	2003-3	Biopsy	H. sapiens	1	#E7298A	2003-3	0.1497	0.0730	0.1497	0.0730	-0.0208	0.0226	0.1701	0.0978	0.0626	-0.1011	-0.1926	-0.1100	0.0853	-0.0538	0.0245	0.0593	0.0655	0.0939	0.0115	-0.0479	-0.1129	-0.0375	-0.0703	0.0160	0.0415	0.0320	0.1445	0.1043	0.0044	-0.2664	-0.0879	0.1327	0.1029	0.0045	-0.0203	0.3668	-0.2298	0.1227	0.0100	0.1952	0.1008	0.1219	0.2004	0.0251	0.1806	-0.0216	-0.0729	-0.0870	0.0729	0.2270	0.0421	-0.0679	0.2332	-0.0432	0.2429	0.0449	-0.1747	-0.1564	0.0144	-0.0453	-0.0612	0.0757	-0.0302	-0.1141	0.0424	-0.0359	-0.0738	0.0005	0.0407	-0.1455	0.0396	0.0102	0.0349	-0.0254	-0.0006	0.0459	0.0354	-0.0729	0.0090	0.0282	-0.0218	-0.0246	0.0020	0.0334	0.0036	0.0691	0.0275	0.0221	0.0105	0.0247	-0.0264	0.0001	0.0026	-0.0180	0.0041	-0.0135	-0.0048	0.0122	-0.0058	0.0025	0.0026	0.0095	0.0106	-0.0103	0.0137	-0.0052

write.csv(all_pca$table, file = "coords/hs_donor_pca_coords.csv")
plot_corheat(all_norm)$plot

4.3 Examine samples relevant to clinical outcome

Now let us consider only the samples for which we have a clinical outcome. These fall primarily into either ‘cured’ or ‘failed’, but some people have not yet returned to the clinic after the first or second visit. These are deemed ‘lost’.

chosen_colors <- c("#D95F02", "#7570B3", "#1B9E77", "#FF0000")
names(chosen_colors) <- c("cure", "failure", "lost", "null")

hs_clinical <- hs_valid %>%
  set_expt_conditions(fact = "clinicaloutcome") %>%
  set_expt_batches(fact = "typeofcells") %>%
  set_expt_colors(colors = chosen_colors) %>%
  set_expt_samplenames(newnames = pData(hs_valid)[["samplename"]]) %>%
  subset_expt(subset = "condition!='lost'&typeofcells!='PBMCs'&typeofcells!='Macrophages'")

## The new colors are a character, changing according to condition.

## Using a subset expression.

## There were 105, now there are 70 samples.

hs_clinical_norm <- sm(normalize_expt(hs_clinical, filter = TRUE, transform = "log2",
                                      convert = "cpm", norm = "quant"))
clinical_pca <- plot_pca(hs_clinical_norm, plot_labels = FALSE)

## Not putting labels on the PC plot.

pp(file = glue("images/all_clinical_nobatch_pca-v{ver}.png"), image = clinical_pca$plot,
   heigh = 8, width = 20)

## Writing the image to: images/all_clinical_nobatch_pca-v202103.png and calling dev.off().

5 Attempt to correct for the surrogate variables

hs_clinical_nb <- sm(normalize_expt(hs_clinical, filter = TRUE, batch = "svaseq",
                                    transform = "log2", convert = "cpm"))
clinical_batch_pca <- plot_pca(hs_clinical_nb)
clinical_batch_pca$plot

6 Repeat without Biopsies

In addition, it may be useful to exclude the biopsy samples.

individual_celltypes <- subset_expt(hs_clinical, subset = "typeofcells!='Biopsy'")

## Using a subset expression.

## There were 70, now there are 40 samples.

individual_norm <- sm(normalize_expt(individual_celltypes, filter = TRUE, convert = "cpm",
                                     batch = "svaseq", transform = "log2"))
individual_pca <- plot_pca(individual_norm, plot_labels = FALSE)

## Not putting labels on the PC plot.

individual_pca$plot

pp(file = glue("images/no_biopsy_clinical_nobatch_pca-v{ver}.png"),
   height = 8, width = 20, image = individual_pca$plot)

## Writing the image to: images/no_biopsy_clinical_nobatch_pca-v202103.png and calling dev.off().

7 Perform DE of the clinical samples

hs_clinic_de <- sm(all_pairwise(individual_celltypes, model_batch = "svaseq", filter = TRUE))
hs_clinic_table <- sm(combine_de_tables(
    hs_clinic_de,
    excel = glue::glue("excel/cure_failed_table-v{ver}.xlsx")))

hs_clinic_sig <- sm(extract_significant_genes(
    hs_clinic_table,
    excel = glue::glue("excel/cure_failed_sig-v{ver}.xlsx")))

8 Combine cure and lost

Najib seems interested in this, but was curious to see how they look when the cure and lost samples are combined into a single group.

cl_idx <- pData(individual_celltypes)[["condition"]] == "cure" |
  pData(individual_celltypes)[["condition"]] == "lost"
new_factor <- pData(individual_celltypes)[["condition"]]
new_factor[cl_idx] <- "cure_lost"
hs_cl <- set_expt_conditions(individual_celltypes, fact = new_factor)

individual_cl <- sm(normalize_expt(hs_cl, transform = "log2", convert = "cpm",
                                   batch = "svaseq", norm = "quant", filter = TRUE))
plot_pca(individual_cl)$plot

individual_cl_de <- sm(all_pairwise(individual_clv, model_batch = "svaseq"))

## Error in "expt" %in% class(input): object 'individual_clv' not found

individual_cl_table <- sm(combine_de_tables(
    individual_cl_de,
    excel = glue::glue("excel/curelost_failed_table-v{ver}.xlsx")))

## Error in combine_de_tables(individual_cl_de, excel = glue::glue("excel/curelost_failed_table-v{ver}.xlsx")): object 'individual_cl_de' not found

individual_cl_sig <- sm(extract_significant_genes(
    individual_cl_de,
    excel = glue::glue("excel/curelost_failed_sig-v{ver}.xlsx")))

## Error in extract_significant_genes(individual_cl_de, excel = glue::glue("excel/curelost_failed_sig-v{ver}.xlsx")): object 'individual_cl_de' not found

ups <- hs_clv2_sig[["deseq"]][["ups"]][[1]]

## Error in eval(expr, envir, enclos): object 'hs_clv2_sig' not found

downs <- hs_clv2_sig[["deseq"]][["downs"]][[1]]

## Error in eval(expr, envir, enclos): object 'hs_clv2_sig' not found

hs_clv2_gprofiler_ups <- simple_gprofiler(ups)

## Error in simple_gprofiler(ups): object 'ups' not found

hs_clv2_gprofiler_ups$pvalue_plots$reactome_plot_over

## Error in eval(expr, envir, enclos): object 'hs_clv2_gprofiler_ups' not found

hs_clv2_gprofiler_downs <- simple_gprofiler(downs)

## Error in simple_gprofiler(downs): object 'downs' not found

hs_clv2_gprofiler_downs$pvalue_plots$bpp_plot_over

## Error in eval(expr, envir, enclos): object 'hs_clv2_gprofiler_downs' not found

hs_clv2_gprofiler_downs$pvalue_plots$reactome_plot_over

## Error in eval(expr, envir, enclos): object 'hs_clv2_gprofiler_downs' not found

hs_clv2_gsva <- simple_gsva(hs_clv2)

## Error in simple_gsva(hs_clv2): object 'hs_clv2' not found

hs_clv2_gsva_sig <- get_sig_gsva_categories(hs_clv2_gsva)

## Error in get_sig_gsva_categories(hs_clv2_gsva): object 'hs_clv2_gsva' not found

broad_c7 <- GSEABase::getGmt("reference/msigdb/c7.all.v7.2.entrez.gmt",
                             collectionType = GSEABase::BroadCollection(category = "c7"),
                             geneIdType = GSEABase::EntrezIdentifier())
testing <- simple_gsva(hs_clv2, signatures = broad_c7,
                       msig_xml = "reference/msigdb_v7.2.xml", cores = 10)

## Error in simple_gsva(hs_clv2, signatures = broad_c7, msig_xml = "reference/msigdb_v7.2.xml", : object 'hs_clv2' not found

test_sig <- get_sig_gsva_categories(testing, excel = "excel/test_gsva.xlsx")

## Error in get_sig_gsva_categories(testing, excel = "excel/test_gsva.xlsx"): object 'testing' not found

9 Cell types

The following blocks split the samples into a few groups by sample type and look at the distributions between them.

9.1 Implementation details

Get top/bottom n genes for each cell type, using clinical outcome as the factor of interest. For the moment, use sva for the DE analysis. Provide cpms for the top/bottom n genes.

Start with top/bottom 200. Perform default logFC and p-value as well.

9.1.1 Shared contrasts

Here is the contrast we will use throughput, I am leaving open the option to add more.

keepers <- list(
  "fail_vs_cure" = c("failure", "cure"))

10 NOTE

Sample sheet rows 11-14 had the clinical outcome set to ‘NA’ instead of cure/fail/lost In addition, some newer entries were ‘Cure/Failure’ instead of ‘cure/failure’, I changed this.

10.1 Monocytes

mono <- subset_expt(hs_valid, subset = "typeofcells=='Monocytes'")

## Using a subset expression.

## There were 105, now there are 21 samples.

mono <- set_expt_conditions(mono, fact = "clinicaloutcome")
mono <- set_expt_batches(mono, fact = "donor")
## FIXME set_expt_colors should speak up if there are mismatches here!!!
mono <- set_expt_colors(expt = mono, colors = chosen_colors)

## The new colors are a character, changing according to condition.

save_result <- save(mono, file = "rda/monocyte_expt.rda")
mono_norm <- normalize_expt(mono, convert = "cpm", filter = TRUE)

## This function will replace the expt$expressionset slot with:

## cpm(cbcb(data))

## It will save copies of each step along the way
##  in expt$normalized with the corresponding libsizes. Keep libsizes in mind
##  when invoking limma.  The appropriate libsize is non-log(cpm(normalized)).
##  This is most likely kept at:
##  'new_expt$normalized$intermediate_counts$normalization$libsizes'
##  A copy of this may also be found at:
##  new_expt$best_libsize

## Leaving the data in its current base format, keep in mind that
##  some metrics are easier to see when the data is log2 transformed, but
##  EdgeR/DESeq do not accept transformed data.

## Leaving the data unnormalized.  This is necessary for DESeq, but
##  EdgeR/limma might benefit from normalization.  Good choices include quantile,
##  size-factor, tmm, etc.

## Not correcting the count-data for batch effects.  If batch is
##  included in EdgerR/limma's model, then this is probably wise; but in extreme
##  batch effects this is a good parameter to play with.

## Step 1: performing count filter with option: cbcb

## Removing 10454 low-count genes (11027 remaining).

## Step 2: not normalizing the data.

## Step 3: converting the data with cpm.

## The method is: raw.

## Step 4: not doing batch correction.

## Step 4: not transforming the data.

mono_norm <- normalize_expt(mono_norm, transform = "log2")

## This function will replace the expt$expressionset slot with:

## log2(data)

## It will save copies of each step along the way
##  in expt$normalized with the corresponding libsizes. Keep libsizes in mind
##  when invoking limma.  The appropriate libsize is non-log(cpm(normalized)).
##  This is most likely kept at:
##  'new_expt$normalized$intermediate_counts$normalization$libsizes'
##  A copy of this may also be found at:
##  new_expt$best_libsize

## Filter is false, this should likely be set to something, good
##  choices include cbcb, kofa, pofa (anything but FALSE).  If you want this to
##  stay FALSE, keep in mind that if other normalizations are performed, then the
##  resulting libsizes are likely to be strange (potentially negative!)

## Leaving the data unconverted.  It is often advisable to cpm/rpkm
##  the data to normalize for sampling differences, keep in mind though that rpkm
##  has some annoying biases, and voom() by default does a cpm (though hpgl_voom()
##  will try to detect this).

## Leaving the data unnormalized.  This is necessary for DESeq, but
##  EdgeR/limma might benefit from normalization.  Good choices include quantile,
##  size-factor, tmm, etc.

## Not correcting the count-data for batch effects.  If batch is
##  included in EdgerR/limma's model, then this is probably wise; but in extreme
##  batch effects this is a good parameter to play with.

## Step 1: not doing count filtering.

## Step 2: not normalizing the data.

## Step 3: not converting the data.

## The method is: raw.

## Step 4: not doing batch correction.

## Step 4: transforming the data with log2.

## transform_counts: Found 1169 values equal to 0, adding 1 to the matrix.

plt <- plot_pca(mono_norm, plot_labels = FALSE)$plot

## Not putting labels on the PC plot.

pp(file = glue("images/mono_pca_normalized-v{ver}.pdf"), image = plt)

## Writing the image to: images/mono_pca_normalized-v202103.pdf and calling dev.off().

plt

mono_de <- sm(all_pairwise(mono, model_batch = FALSE, filter = TRUE))

mono_tables <- combine_de_tables(mono_de, keepers = keepers,
                                 excel = glue::glue("excel/monocyte_clinical_all_tables-v{ver}.xlsx"))

## Deleting the file excel/monocyte_clinical_all_tables-v202103.xlsx before writing the tables.

## Writing a legend of columns.

## Printing a pca plot before/after surrogates/batch estimation.

## Working on 1/1: fail_vs_cure which is: failure/cure.

## Found table with failure_vs_cure

## Adding venn plots for fail_vs_cure.

## Limma expression coefficients for fail_vs_cure; R^2: 0.968; equation: y = 0.996x - 0.0123

## Deseq expression coefficients for fail_vs_cure; R^2: 0.971; equation: y = 1.03x - 0.31

## Edger expression coefficients for fail_vs_cure; R^2: 0.971; equation: y = 1.03x - 0.323

## Writing summary information, compare_plot is: TRUE.

## Performing save of excel/monocyte_clinical_all_tables-v202103.xlsx.

written <- write_xlsx(data = mono_tables[["data"]][[1]],
                      excel = glue::glue("excel/monocyte_clinical_table-v{ver}.xlsx"))

## Saving to: excel/monocyte_clinical_table-v202103.xlsx

mono_sig <- extract_significant_genes(mono_tables, according_to = "deseq")

## Printing significant genes to the file:

## 1/1: Creating significant table up_deseq_fail_vs_cure

written <- write_xlsx(data = mono_sig[["deseq"]][["ups"]][[1]],
                      excel = glue::glue("excel/monocyte_clinical_sigup-v{ver}.xlsx"))

## Saving to: excel/monocyte_clinical_sigup-v202103.xlsx

written <- write_xlsx(data = mono_sig[["deseq"]][["downs"]][[1]],
                      excel = glue::glue("excel/monocyte_clinical_sigdown-v{ver}.xlsx"))

## Saving to: excel/monocyte_clinical_sigdown-v202103.xlsx

mono_pct_sig <- extract_significant_genes(mono_tables, n = 200, lfc = NULL, p = NULL, according_to = "deseq")

## Getting the top and bottom 200 genes.

## Printing significant genes to the file:

## 1/1: Creating significant table up_deseq_fail_vs_cure

written <- write_xlsx(data = mono_pct_sig[["deseq"]][["ups"]][[1]],
                      excel = glue::glue("excel/monocyte_clinical_sigup_pct-v{ver}.xlsx"))

## Saving to: excel/monocyte_clinical_sigup_pct-v202103.xlsx

written <- write_xlsx(data = mono_pct_sig[["deseq"]][["downs"]][[1]],
                      excel = glue::glue("excel/monocyte_clinical_sigdown_pct-v{ver}.xlsx"))

## Saving to: excel/monocyte_clinical_sigdown_pct-v202103.xlsx

mono_sig$summary_df

## data frame with 0 columns and 1 row

mono_cpm <- sm(normalize_expt(mono, convert = "cpm"))
written <- write_xlsx(data = exprs(mono_cpm),
                      excel = glue::glue("excel/monocyte_cpm_before_batch-v{ver}.xlsx"))

## Saving to: excel/monocyte_cpm_before_batch-v202103.xlsx

mono_bcpm <- sm(normalize_expt(mono, filter = TRUE, convert = "cpm"))
written <- write_xlsx(data = exprs(mono_bcpm),
                      excel = glue::glue("excel/monocyte_cpm_after_batch-v{ver}.xlsx"))

## Saving to: excel/monocyte_cpm_after_batch-v202103.xlsx

ups <- mono_sig[["deseq"]][["ups"]][["fail_vs_cure"]]
downs <- mono_sig[["deseq"]][["downs"]][["fail_vs_cure"]]

up_goseq <- simple_goseq(sig_genes = ups, go_db = hs_go, length_db = hs_length)

## Using the row names of your table.

## Found 148 genes out of 152 from the sig_genes in the go_db.

## Found 151 genes out of 152 from the sig_genes in the length_db.

## Using manually entered categories.

## Calculating the p-values...

## 'select()' returned 1:1 mapping between keys and columns

## simple_goseq(): Calculating q-values

## simple_goseq(): Filling godata with terms, this is slow.

## Testing that go categories are defined.

## Removing undefined categories.

## Gathering synonyms.

## Gathering category definitions.

## simple_goseq(): Making pvalue plots for the ontologies.

broad_c7 <- GSEABase::getGmt("reference/msigdb/c7.all.v7.2.entrez.gmt",
                             collectionType = GSEABase::BroadCollection(category = "c7"),
                             geneIdType = GSEABase::EntrezIdentifier())

up_goseq_gsva <- goseq_msigdb(sig_genes = ups, signatures = broad_c7,
                              signature_category = "c7", length_db = hs_length)

## Starting to coerce the msig data to the ontology format.

## Finished coercing the msig data.

## Error in requireNamespace(orgdb): object 'orgdb' not found

10.2 Neutrophils

neut <- subset_expt(hs_valid, subset = "typeofcells=='Neutrophils'")

## Using a subset expression.

## There were 105, now there are 20 samples.

neut <- set_expt_conditions(neut, fact = "clinicaloutcome")
neut <- set_expt_batches(neut, fact = "donor")
neut <- set_expt_colors(expt = neut, colors = chosen_colors)

## The new colors are a character, changing according to condition.

save_result <- save(neut, file = "rda/neutrophil_expt.rda")
neut_norm <- sm(normalize_expt(neut, convert = "cpm", filter = TRUE))
neut_norm <- normalize_expt(neut_norm, transform = "log2")

## This function will replace the expt$expressionset slot with:

## log2(data)

## It will save copies of each step along the way
##  in expt$normalized with the corresponding libsizes. Keep libsizes in mind
##  when invoking limma.  The appropriate libsize is non-log(cpm(normalized)).
##  This is most likely kept at:
##  'new_expt$normalized$intermediate_counts$normalization$libsizes'
##  A copy of this may also be found at:
##  new_expt$best_libsize

## Filter is false, this should likely be set to something, good
##  choices include cbcb, kofa, pofa (anything but FALSE).  If you want this to
##  stay FALSE, keep in mind that if other normalizations are performed, then the
##  resulting libsizes are likely to be strange (potentially negative!)

## Leaving the data unconverted.  It is often advisable to cpm/rpkm
##  the data to normalize for sampling differences, keep in mind though that rpkm
##  has some annoying biases, and voom() by default does a cpm (though hpgl_voom()
##  will try to detect this).

## Leaving the data unnormalized.  This is necessary for DESeq, but
##  EdgeR/limma might benefit from normalization.  Good choices include quantile,
##  size-factor, tmm, etc.

## Not correcting the count-data for batch effects.  If batch is
##  included in EdgerR/limma's model, then this is probably wise; but in extreme
##  batch effects this is a good parameter to play with.

## Step 1: not doing count filtering.

## Step 2: not normalizing the data.

## Step 3: not converting the data.

## The method is: raw.

## Step 4: not doing batch correction.

## Step 4: transforming the data with log2.

## transform_counts: Found 553 values equal to 0, adding 1 to the matrix.

plt <- plot_pca(neut_norm, plot_labels = FALSE)$plot

## Not putting labels on the PC plot.

pp(file = glue("images/neut_pca_normalized-v{ver}.pdf"), image = plt)

## Writing the image to: images/neut_pca_normalized-v202103.pdf and calling dev.off().

plt

neut_de <- sm(all_pairwise(neut, model_batch = FALSE, filter = TRUE))

neut_tables <- combine_de_tables(neut_de, keepers = keepers,
                                 excel = glue::glue("excel/neutrophil_clinical_all_tables-v{ver}.xlsx"))

## Deleting the file excel/neutrophil_clinical_all_tables-v202103.xlsx before writing the tables.

## Writing a legend of columns.

## Printing a pca plot before/after surrogates/batch estimation.

## Working on 1/1: fail_vs_cure which is: failure/cure.

## Found table with failure_vs_cure

## Adding venn plots for fail_vs_cure.

## Limma expression coefficients for fail_vs_cure; R^2: 0.961; equation: y = 0.981x + 0.0932

## Deseq expression coefficients for fail_vs_cure; R^2: 0.962; equation: y = 0.969x + 0.288

## Edger expression coefficients for fail_vs_cure; R^2: 0.962; equation: y = 0.969x + 0.223

## Writing summary information, compare_plot is: TRUE.

## Performing save of excel/neutrophil_clinical_all_tables-v202103.xlsx.

written <- write_xlsx(data = neut_tables[["data"]][[1]],
                      excel = glue::glue("excel/neutrophil_clinical_table-v{ver}.xlsx"))

## Saving to: excel/neutrophil_clinical_table-v202103.xlsx

neut_sig <- extract_significant_genes(neut_tables, according_to = "deseq")

## Printing significant genes to the file:

## 1/1: Creating significant table up_deseq_fail_vs_cure

written <- write_xlsx(data = neut_sig[["deseq"]][["ups"]][[1]],
                      excel = glue::glue("excel/neutrophil_clinical_sigup-v{ver}.xlsx"))

## Saving to: excel/neutrophil_clinical_sigup-v202103.xlsx

written <- write_xlsx(data = neut_sig[["deseq"]][["downs"]][[1]],
                      excel = glue::glue("excel/neutrophil_clinical_sigdown-v{ver}.xlsx"))

## Saving to: excel/neutrophil_clinical_sigdown-v202103.xlsx

neut_pct_sig <- extract_significant_genes(neut_tables, n = 200, lfc = NULL, p = NULL, according_to = "deseq")

## Getting the top and bottom 200 genes.

## Printing significant genes to the file:

## 1/1: Creating significant table up_deseq_fail_vs_cure

written <- write_xlsx(data = neut_sig[["deseq"]][["ups"]][[1]],
                      excel = glue::glue("excel/neutrophil_clinical_sigup_pct-v{ver}.xlsx"))

## Saving to: excel/neutrophil_clinical_sigup_pct-v202103.xlsx

written <- write_xlsx(data = neut_sig[["deseq"]][["downs"]][[1]],
                      excel = glue::glue("excel/neutrophil_clinical_sigdown_pct-v{ver}.xlsx"))

## Saving to: excel/neutrophil_clinical_sigdown_pct-v202103.xlsx

neut_cpm <- sm(normalize_expt(neut, convert = "cpm"))
written <- write_xlsx(data = exprs(neut_cpm),
                      excel = glue::glue("excel/neutrophil_cpm_before_batch-v{ver}.xlsx"))

## Saving to: excel/neutrophil_cpm_before_batch-v202103.xlsx

neut_bcpm <- sm(normalize_expt(neut, filter = TRUE, convert = "cpm"))
written <- write_xlsx(data = exprs(neut_bcpm),
                      excel = glue::glue("excel/neutrophil_cpm_after_batch-v{ver}.xlsx"))

## Saving to: excel/neutrophil_cpm_after_batch-v202103.xlsx

10.3 Eosinophils

eo <- subset_expt(hs_valid, subset = "typeofcells=='Eosinophils'")

## Using a subset expression.

## There were 105, now there are 14 samples.

eo <- set_expt_conditions(eo, fact = "clinicaloutcome")
eo <- set_expt_batches(eo, fact = "donor")
eo <- set_expt_colors(expt = eo, colors = chosen_colors)

## The new colors are a character, changing according to condition.

save_result <- save(eo, file = "rda/eosinophil_expt.rda")
eo_norm <- sm(normalize_expt(eo, convert = "cpm", filter = TRUE))
eo_norm <- normalize_expt(eo_norm, transform = "log2")

## This function will replace the expt$expressionset slot with:

## log2(data)

## It will save copies of each step along the way
##  in expt$normalized with the corresponding libsizes. Keep libsizes in mind
##  when invoking limma.  The appropriate libsize is non-log(cpm(normalized)).
##  This is most likely kept at:
##  'new_expt$normalized$intermediate_counts$normalization$libsizes'
##  A copy of this may also be found at:
##  new_expt$best_libsize

## Filter is false, this should likely be set to something, good
##  choices include cbcb, kofa, pofa (anything but FALSE).  If you want this to
##  stay FALSE, keep in mind that if other normalizations are performed, then the
##  resulting libsizes are likely to be strange (potentially negative!)

## Leaving the data unconverted.  It is often advisable to cpm/rpkm
##  the data to normalize for sampling differences, keep in mind though that rpkm
##  has some annoying biases, and voom() by default does a cpm (though hpgl_voom()
##  will try to detect this).

## Leaving the data unnormalized.  This is necessary for DESeq, but
##  EdgeR/limma might benefit from normalization.  Good choices include quantile,
##  size-factor, tmm, etc.

## Not correcting the count-data for batch effects.  If batch is
##  included in EdgerR/limma's model, then this is probably wise; but in extreme
##  batch effects this is a good parameter to play with.

## Step 1: not doing count filtering.

## Step 2: not normalizing the data.

## Step 3: not converting the data.

## The method is: raw.

## Step 4: not doing batch correction.

## Step 4: transforming the data with log2.

## transform_counts: Found 198 values equal to 0, adding 1 to the matrix.

plt <- plot_pca(eo_norm, plot_labels = FALSE)$plot

## Not putting labels on the PC plot.

pp(file = glue("images/eo_pca_normalized-v{ver}.pdf"), image = plt)

## Writing the image to: images/eo_pca_normalized-v202103.pdf and calling dev.off().

plt

eo_de <- sm(all_pairwise(eo, model_batch = FALSE, filter = TRUE))

eo_tables <- combine_de_tables(eo_de, keepers = keepers,
                               excel = glue::glue("excel/eosinophil_clinical_all_tables-v{ver}.xlsx"))

## Deleting the file excel/eosinophil_clinical_all_tables-v202103.xlsx before writing the tables.

## Writing a legend of columns.

## Printing a pca plot before/after surrogates/batch estimation.

## Working on 1/1: fail_vs_cure which is: failure/cure.

## Found table with failure_vs_cure

## Adding venn plots for fail_vs_cure.

## Limma expression coefficients for fail_vs_cure; R^2: 0.972; equation: y = 0.985x + 0.0781

## Deseq expression coefficients for fail_vs_cure; R^2: 0.972; equation: y = 1.02x - 0.163

## Edger expression coefficients for fail_vs_cure; R^2: 0.972; equation: y = 1.02x - 0.176

## Writing summary information, compare_plot is: TRUE.

## Performing save of excel/eosinophil_clinical_all_tables-v202103.xlsx.

written <- write_xlsx(data = eo_tables[["data"]][[1]],
                      excel = glue::glue("excel/eosinophil_clinical_table-v{ver}.xlsx"))

## Saving to: excel/eosinophil_clinical_table-v202103.xlsx

eo_sig <- extract_significant_genes(eo_tables, according_to = "deseq")

## Printing significant genes to the file:

## 1/1: Creating significant table up_deseq_fail_vs_cure

written <- write_xlsx(data = eo_sig[["deseq"]][["ups"]][[1]],
                      excel = glue::glue("excel/eosinophil_clinical_sigup-v{ver}.xlsx"))

## Saving to: excel/eosinophil_clinical_sigup-v202103.xlsx

written <- write_xlsx(data = eo_sig[["deseq"]][["downs"]][[1]],
                      excel = glue::glue("excel/eosinophil_clinical_sigdown-v{ver}.xlsx"))

## Saving to: excel/eosinophil_clinical_sigdown-v202103.xlsx

eo_pct_sig <- extract_significant_genes(eo_tables, n = 200, lfc = NULL, p = NULL, according_to = "deseq")

## Getting the top and bottom 200 genes.

## Printing significant genes to the file:

## 1/1: Creating significant table up_deseq_fail_vs_cure

written <- write_xlsx(data = eo_pct_sig[["deseq"]][["ups"]][[1]],
                      excel = glue::glue("excel/eosinophil_clinical_sigup_pct-v{ver}.xlsx"))

## Saving to: excel/eosinophil_clinical_sigup_pct-v202103.xlsx

written <- write_xlsx(data = eo_pct_sig[["deseq"]][["downs"]][[1]],
                      excel = glue::glue("excel/eosinophil_clinical_sigdown_pct-v{ver}.xlsx"))

## Saving to: excel/eosinophil_clinical_sigdown_pct-v202103.xlsx

eo_cpm <- sm(normalize_expt(eo, convert = "cpm"))
written <- write_xlsx(data = exprs(eo_cpm),
                      excel = glue::glue("excel/eosinophil_cpm_before_batch-v{ver}.xlsx"))

## Saving to: excel/eosinophil_cpm_before_batch-v202103.xlsx

eo_bcpm <- sm(normalize_expt(eo, filter = TRUE, convert = "cpm"))
written <- write_xlsx(data = exprs(eo_bcpm),
                      excel = glue::glue("excel/eosinophil_cpm_after_batch-v{ver}.xlsx"))

## Saving to: excel/eosinophil_cpm_after_batch-v202103.xlsx

10.4 Biopsies

biop <- subset_expt(hs_valid, subset = "typeofcells=='Biopsy'")

## Using a subset expression.

## There were 105, now there are 32 samples.

biop <- set_expt_conditions(biop, fact = "clinicaloutcome")
biop <- set_expt_batches(biop, fact = "donor")
biop <- set_expt_colors(expt = biop, colors = chosen_colors)

## The new colors are a character, changing according to condition.

save_result <- save(biop, file = "rda/biopsy_expt.rda")
biop_norm <- normalize_expt(biop, filter = TRUE, convert = "cpm")

## This function will replace the expt$expressionset slot with:

## cpm(cbcb(data))

## It will save copies of each step along the way
##  in expt$normalized with the corresponding libsizes. Keep libsizes in mind
##  when invoking limma.  The appropriate libsize is non-log(cpm(normalized)).
##  This is most likely kept at:
##  'new_expt$normalized$intermediate_counts$normalization$libsizes'
##  A copy of this may also be found at:
##  new_expt$best_libsize

## Leaving the data in its current base format, keep in mind that
##  some metrics are easier to see when the data is log2 transformed, but
##  EdgeR/DESeq do not accept transformed data.

## Leaving the data unnormalized.  This is necessary for DESeq, but
##  EdgeR/limma might benefit from normalization.  Good choices include quantile,
##  size-factor, tmm, etc.

## Not correcting the count-data for batch effects.  If batch is
##  included in EdgerR/limma's model, then this is probably wise; but in extreme
##  batch effects this is a good parameter to play with.

## Step 1: performing count filter with option: cbcb

## Removing 7362 low-count genes (14119 remaining).

## Step 2: not normalizing the data.

## Step 3: converting the data with cpm.

## The method is: raw.

## Step 4: not doing batch correction.

## Step 4: not transforming the data.

biop_norm <- normalize_expt(biop_norm, transform = "log2")

## This function will replace the expt$expressionset slot with:

## log2(data)

## It will save copies of each step along the way
##  in expt$normalized with the corresponding libsizes. Keep libsizes in mind
##  when invoking limma.  The appropriate libsize is non-log(cpm(normalized)).
##  This is most likely kept at:
##  'new_expt$normalized$intermediate_counts$normalization$libsizes'
##  A copy of this may also be found at:
##  new_expt$best_libsize

## Filter is false, this should likely be set to something, good
##  choices include cbcb, kofa, pofa (anything but FALSE).  If you want this to
##  stay FALSE, keep in mind that if other normalizations are performed, then the
##  resulting libsizes are likely to be strange (potentially negative!)

## Leaving the data unconverted.  It is often advisable to cpm/rpkm
##  the data to normalize for sampling differences, keep in mind though that rpkm
##  has some annoying biases, and voom() by default does a cpm (though hpgl_voom()
##  will try to detect this).

## Leaving the data unnormalized.  This is necessary for DESeq, but
##  EdgeR/limma might benefit from normalization.  Good choices include quantile,
##  size-factor, tmm, etc.

## Not correcting the count-data for batch effects.  If batch is
##  included in EdgerR/limma's model, then this is probably wise; but in extreme
##  batch effects this is a good parameter to play with.

## Step 1: not doing count filtering.

## Step 2: not normalizing the data.

## Step 3: not converting the data.

## The method is: raw.

## Step 4: not doing batch correction.

## Step 4: transforming the data with log2.

## transform_counts: Found 1671 values equal to 0, adding 1 to the matrix.

plt <- plot_pca(biop_norm, plot_labels = FALSE)$plot

## Not putting labels on the PC plot.

pp(file = glue("images/biop_pca_normalized-v{ver}.pdf"), image = plt)

## Writing the image to: images/biop_pca_normalized-v202103.pdf and calling dev.off().

plt

biop_de <- sm(all_pairwise(biop, model_batch = FALSE, filter = TRUE))

biop_tables <- combine_de_tables(biop_de, keepers = keepers,
                                 excel = glue::glue("excel/biopsy_clinical_all_tables-v{ver}.xlsx"))

## Deleting the file excel/biopsy_clinical_all_tables-v202103.xlsx before writing the tables.

## Writing a legend of columns.

## Printing a pca plot before/after surrogates/batch estimation.

## Working on 1/1: fail_vs_cure which is: failure/cure.

## Found table with failure_vs_cure

## Adding venn plots for fail_vs_cure.

## Limma expression coefficients for fail_vs_cure; R^2: 0.99; equation: y = 0.983x + 0.069

## Deseq expression coefficients for fail_vs_cure; R^2: 0.991; equation: y = 0.976x + 0.282

## Edger expression coefficients for fail_vs_cure; R^2: 0.991; equation: y = 0.975x + 0.171

## Writing summary information, compare_plot is: TRUE.

## Performing save of excel/biopsy_clinical_all_tables-v202103.xlsx.

written <- write_xlsx(data = biop_tables[["data"]][[1]],
                      excel = glue::glue("excel/biopsy_clinical_table-v{ver}.xlsx"))

## Saving to: excel/biopsy_clinical_table-v202103.xlsx

biop_sig <- extract_significant_genes(biop_tables, according_to = "deseq")

## Printing significant genes to the file:

## The up table fail_vs_cure is empty.

##written <- write_xlsx(data = biop_sig[["deseq"]][["ups"]][[1]],
##                      excel = glue::glue("excel/biopsy_clinical_sigup-v{ver}.xlsx"))
written <- write_xlsx(data = biop_sig[["deseq"]][["downs"]][[1]],
                      excel = glue::glue("excel/biopsy_clinical_sigdown-v{ver}.xlsx"))

## Saving to: excel/biopsy_clinical_sigdown-v202103.xlsx

biop_pct_sig <- extract_significant_genes(biop_tables, n = 200, lfc = NULL, p = NULL, according_to = "deseq")

## Getting the top and bottom 200 genes.

## Printing significant genes to the file:

## 1/1: Creating significant table up_deseq_fail_vs_cure

written <- write_xlsx(data = biop_pct_sig[["deseq"]][["ups"]][[1]],
                      excel = glue::glue("excel/biopsy_clinical_sigup_pct-v{ver}.xlsx"))

## Saving to: excel/biopsy_clinical_sigup_pct-v202103.xlsx

written <- write_xlsx(data = biop_pct_sig[["deseq"]][["downs"]][[1]],
                      excel = glue::glue("excel/biopsy_clinical_sigdown_pct-v{ver}.xlsx"))

## Saving to: excel/biopsy_clinical_sigdown_pct-v202103.xlsx

biop_cpm <- sm(normalize_expt(biop, convert = "cpm"))
written <- write_xlsx(data = exprs(biop_cpm),
                      excel = glue::glue("excel/biopsy_cpm_before_batch-v{ver}.xlsx"))

## Saving to: excel/biopsy_cpm_before_batch-v202103.xlsx

biop_bcpm <- sm(normalize_expt(biop, filter = TRUE, convert = "cpm"))
written <- write_xlsx(data = exprs(biop_bcpm),
                      excel = glue::glue("excel/biopsy_cpm_after_batch-v{ver}.xlsx"))

## Saving to: excel/biopsy_cpm_after_batch-v202103.xlsx

10.5 Macrophages

These samples are rather different from all of the others. The following section is therefore written primarily in response to a separate set of emails from Olga and Maria Adelaida; here is a snippet:

Dear all, about the samples corresponding to infected macrophages with three sensitive (2.2) and three resistant (2.3) clinical strains of L. (V.) panamensis, I send you the results of parasite burden by detection of 7SLRNA. I think these results are interesting, but the sample size is very small. Doctor Najib or Trey could you please send me the quality data and PCA analysis of these samples?

and

Hi Doctor, thank you. These samples corresponding to primary macrophages infected with clinical strains 2.2 (n = 3) and 2.3 (n = 3). These information is in the file: TMRC project 3: excel Host TMRC3 v1.1, rows 137 to 150.

Thus I added 3 columns to the end of the sample sheet which seek to include this information. The first is ‘drug’ and encodes both the infection state (no for the two controls and yes for everything else), the second is zymodeme which I took from the tmrc2 sample sheet, the last is drug, which is either no or sb.

macr <- subset_expt(hs_valid, subset = "typeofcells=='Macrophages'")

## Using a subset expression.

## There were 105, now there are 12 samples.

macr <- set_expt_conditions(macr, fact = "zymodeme")
macr <- set_expt_batches(macr, fact = "macrdrug")

macr_norm <- normalize_expt(macr, norm = "quant", convert = "cpm", filter = TRUE)

## This function will replace the expt$expressionset slot with:

## cpm(quant(cbcb(data)))

## It will save copies of each step along the way
##  in expt$normalized with the corresponding libsizes. Keep libsizes in mind
##  when invoking limma.  The appropriate libsize is non-log(cpm(normalized)).
##  This is most likely kept at:
##  'new_expt$normalized$intermediate_counts$normalization$libsizes'
##  A copy of this may also be found at:
##  new_expt$best_libsize

## Leaving the data in its current base format, keep in mind that
##  some metrics are easier to see when the data is log2 transformed, but
##  EdgeR/DESeq do not accept transformed data.

## Not correcting the count-data for batch effects.  If batch is
##  included in EdgerR/limma's model, then this is probably wise; but in extreme
##  batch effects this is a good parameter to play with.

## Step 1: performing count filter with option: cbcb

## Removing 10437 low-count genes (11044 remaining).

## Step 2: normalizing the data with quant.

## Step 3: converting the data with cpm.

## The method is: raw.

## Step 4: not doing batch correction.

## Step 4: not transforming the data.

macr_norm <- normalize_expt(macr_norm, transform = "log2")

## This function will replace the expt$expressionset slot with:

## log2(data)

## It will save copies of each step along the way
##  in expt$normalized with the corresponding libsizes. Keep libsizes in mind
##  when invoking limma.  The appropriate libsize is non-log(cpm(normalized)).
##  This is most likely kept at:
##  'new_expt$normalized$intermediate_counts$normalization$libsizes'
##  A copy of this may also be found at:
##  new_expt$best_libsize

## Filter is false, this should likely be set to something, good
##  choices include cbcb, kofa, pofa (anything but FALSE).  If you want this to
##  stay FALSE, keep in mind that if other normalizations are performed, then the
##  resulting libsizes are likely to be strange (potentially negative!)

## Leaving the data unconverted.  It is often advisable to cpm/rpkm
##  the data to normalize for sampling differences, keep in mind though that rpkm
##  has some annoying biases, and voom() by default does a cpm (though hpgl_voom()
##  will try to detect this).

## Leaving the data unnormalized.  This is necessary for DESeq, but
##  EdgeR/limma might benefit from normalization.  Good choices include quantile,
##  size-factor, tmm, etc.

## Not correcting the count-data for batch effects.  If batch is
##  included in EdgerR/limma's model, then this is probably wise; but in extreme
##  batch effects this is a good parameter to play with.

## Step 1: not doing count filtering.

## Step 2: not normalizing the data.

## Step 3: not converting the data.

## The method is: raw.

## Step 4: not doing batch correction.

## Step 4: transforming the data with log2.

plt <- plot_pca(macr_norm, plot_labels = FALSE)$plot

## Not putting labels on the PC plot.

pp(file = glue("images/macrophage_side_experiment_norm_pca-v{ver}.pdf"), image = plt)

## Writing the image to: images/macrophage_side_experiment_norm_pca-v202103.pdf and calling dev.off().

plt

macr_nb <- normalize_expt(macr, filter = TRUE)

## This function will replace the expt$expressionset slot with:

## cbcb(data)

## It will save copies of each step along the way
##  in expt$normalized with the corresponding libsizes. Keep libsizes in mind
##  when invoking limma.  The appropriate libsize is non-log(cpm(normalized)).
##  This is most likely kept at:
##  'new_expt$normalized$intermediate_counts$normalization$libsizes'
##  A copy of this may also be found at:
##  new_expt$best_libsize

## Leaving the data in its current base format, keep in mind that
##  some metrics are easier to see when the data is log2 transformed, but
##  EdgeR/DESeq do not accept transformed data.

## Leaving the data unconverted.  It is often advisable to cpm/rpkm
##  the data to normalize for sampling differences, keep in mind though that rpkm
##  has some annoying biases, and voom() by default does a cpm (though hpgl_voom()
##  will try to detect this).

## Leaving the data unnormalized.  This is necessary for DESeq, but
##  EdgeR/limma might benefit from normalization.  Good choices include quantile,
##  size-factor, tmm, etc.

## Not correcting the count-data for batch effects.  If batch is
##  included in EdgerR/limma's model, then this is probably wise; but in extreme
##  batch effects this is a good parameter to play with.

## Step 1: performing count filter with option: cbcb

## Removing 10437 low-count genes (11044 remaining).

## Step 2: not normalizing the data.

## Step 3: not converting the data.

## The method is: raw.

## Step 4: not doing batch correction.

## Step 4: not transforming the data.

macr_nb <- normalize_expt(macr_nb, norm = "quant", convert = "cpm", transform = "log2")

## This function will replace the expt$expressionset slot with:

## log2(cpm(quant(data)))

## It will save copies of each step along the way
##  in expt$normalized with the corresponding libsizes. Keep libsizes in mind
##  when invoking limma.  The appropriate libsize is non-log(cpm(normalized)).
##  This is most likely kept at:
##  'new_expt$normalized$intermediate_counts$normalization$libsizes'
##  A copy of this may also be found at:
##  new_expt$best_libsize

## Filter is false, this should likely be set to something, good
##  choices include cbcb, kofa, pofa (anything but FALSE).  If you want this to
##  stay FALSE, keep in mind that if other normalizations are performed, then the
##  resulting libsizes are likely to be strange (potentially negative!)

## Not correcting the count-data for batch effects.  If batch is
##  included in EdgerR/limma's model, then this is probably wise; but in extreme
##  batch effects this is a good parameter to play with.

## Step 1: not doing count filtering.

## Step 2: normalizing the data with quant.

## Step 3: converting the data with cpm.

## The method is: raw.

## Step 4: not doing batch correction.

## Step 4: transforming the data with log2.

plt <- plot_pca(macr_nb)$plot
pp(file = glue("images/macrophage_side_experiment-v{ver}/normbatch_pca.pdf"), image = plt)

## Warning in cairo_pdf(filename = file, ...): cairo error 'error while writing to
## output stream'

## Error in cairo_pdf(filename = file, ...): unable to start device 'cairo_pdf'

plt

macr_written <- write_expt(macr, excel = "excel/macrophage_side_experiment/macrophage_expt.xlsx")

## Deleting the file excel/macrophage_side_experiment/macrophage_expt.xlsx before writing the tables.

## Writing the first sheet, containing a legend and some summary data.

## Writing the raw reads.

## Graphing the raw reads.

## `geom_smooth()` using formula 'y ~ x'
## `geom_smooth()` using formula 'y ~ x'

## Warning in doTryCatch(return(expr), name, parentenv, handler): display list
## redraw incomplete

## Warning in doTryCatch(return(expr), name, parentenv, handler): display list
## redraw incomplete

## Attempting mixed linear model with: ~  condition + batch

## Fitting the expressionset to the model, this is slow.

## 
## Total:117 s

## Placing factor: condition at the beginning of the model.

## Writing the normalized reads.

## Graphing the normalized reads.

## `geom_smooth()` using formula 'y ~ x'

## `geom_smooth()` using formula 'y ~ x'

## Warning in doTryCatch(return(expr), name, parentenv, handler): display list
## redraw incomplete

## Warning in doTryCatch(return(expr), name, parentenv, handler): display list
## redraw incomplete

## Attempting mixed linear model with: ~  condition + batch

## Fitting the expressionset to the model, this is slow.

## 
## Total:70 s

## Placing factor: condition at the beginning of the model.

## Writing the median reads by factor.

zymo_de <- all_pairwise(macr, model_batch = FALSE, filter = TRUE)

## Plotting a PCA before surrogate/batch inclusion.

## Not putting labels on the PC plot.

## Assuming no batch in model for testing pca.

## Not putting labels on the PC plot.

## Finished running DE analyses, collecting outputs.

## Comparing analyses.

zymo_table <- combine_de_tables(zymo_de, excel = "images/macrophage_side_experiment/macrophage_de.xlsx")

## Deleting the file images/macrophage_side_experiment/macrophage_de.xlsx before writing the tables.

## Writing a legend of columns.

## Printing a pca plot before/after surrogates/batch estimation.

## Working on table 1/3: z22_vs_undef

## Working on table 2/3: z23_vs_undef

## Working on table 3/3: z23_vs_z22

## Adding venn plots for z22_vs_undef.

## Limma expression coefficients for z22_vs_undef; R^2: 0.958; equation: y = 0.967x + 0.183

## Deseq expression coefficients for z22_vs_undef; R^2: 0.957; equation: y = 1.02x - 0.216

## Edger expression coefficients for z22_vs_undef; R^2: 0.957; equation: y = 1.02x - 0.193

## Adding venn plots for z23_vs_undef.

## Limma expression coefficients for z23_vs_undef; R^2: 0.954; equation: y = 0.979x + 0.139

## Deseq expression coefficients for z23_vs_undef; R^2: 0.95; equation: y = 0.968x + 0.348

## Edger expression coefficients for z23_vs_undef; R^2: 0.95; equation: y = 0.968x + 0.309

## Adding venn plots for z23_vs_z22.

## Limma expression coefficients for z23_vs_z22; R^2: 0.964; equation: y = 0.997x + 0.0355

## Deseq expression coefficients for z23_vs_z22; R^2: 0.963; equation: y = 0.937x + 0.695

## Edger expression coefficients for z23_vs_z22; R^2: 0.963; equation: y = 0.937x + 0.478

## Writing summary information, compare_plot is: TRUE.

## Performing save of images/macrophage_side_experiment/macrophage_de.xlsx.

10.5.1 Followup email from Olga

• Macrophages infected with 2.3 vs macrophagues infected with 2.3 + SbV
• Macrophages uninfected (M0) vs macrophages uninfected + SbV
• Macrophages uninfected vs macrophages infected with 2.3
• Macrophages uninfected + SbV vs Macrophagues infected with 2.3 + SbV

With this comparisons we can define the effect of infection with 2.3 and the drug effect with and without infection. In this moment we can’t evaluate the conditions with 2.2 because the samples are incomplete. Mariana will complete the samples in the next shipment.

new_factor <- paste0(pData(macr)[["macrdrug"]], "_", pData(macr)[["zymodeme"]])
new_factor <- gsub(x = new_factor, pattern = "undef", replacement = "uninf")
macr_v2 <- set_expt_conditions(macr, fact = new_factor)
macr_v2$conditions

##  [1] "no_uninf" "sb_uninf" "no_z2.3"  "sb_z2.3"  "no_z2.3"  "sb_z2.3" 
##  [7] "no_z2.2"  "sb_z2.2"  "sb_z2.2"  "no_z2.2"  "no_z2.3"  "sb_z2.3"

macr_v2_norm <- normalize_expt(macr_v2, onvert = "cpm", filter = TRUE, norm = "quant")

## This function will replace the expt$expressionset slot with:

## quant(cbcb(data))

## It will save copies of each step along the way
##  in expt$normalized with the corresponding libsizes. Keep libsizes in mind
##  when invoking limma.  The appropriate libsize is non-log(cpm(normalized)).
##  This is most likely kept at:
##  'new_expt$normalized$intermediate_counts$normalization$libsizes'
##  A copy of this may also be found at:
##  new_expt$best_libsize

## Leaving the data in its current base format, keep in mind that
##  some metrics are easier to see when the data is log2 transformed, but
##  EdgeR/DESeq do not accept transformed data.

## Leaving the data unconverted.  It is often advisable to cpm/rpkm
##  the data to normalize for sampling differences, keep in mind though that rpkm
##  has some annoying biases, and voom() by default does a cpm (though hpgl_voom()
##  will try to detect this).

## Not correcting the count-data for batch effects.  If batch is
##  included in EdgerR/limma's model, then this is probably wise; but in extreme
##  batch effects this is a good parameter to play with.

## Step 1: performing count filter with option: cbcb

## Removing 10437 low-count genes (11044 remaining).

## Step 2: normalizing the data with quant.

## Step 3: not converting the data.

## The method is: raw.

## Step 4: not doing batch correction.

## Step 4: not transforming the data.

macr_v2_norm <- normalize_expt(macr_v2_norm, transform = "log2")

## This function will replace the expt$expressionset slot with:

## log2(data)

## It will save copies of each step along the way
##  in expt$normalized with the corresponding libsizes. Keep libsizes in mind
##  when invoking limma.  The appropriate libsize is non-log(cpm(normalized)).
##  This is most likely kept at:
##  'new_expt$normalized$intermediate_counts$normalization$libsizes'
##  A copy of this may also be found at:
##  new_expt$best_libsize

## Filter is false, this should likely be set to something, good
##  choices include cbcb, kofa, pofa (anything but FALSE).  If you want this to
##  stay FALSE, keep in mind that if other normalizations are performed, then the
##  resulting libsizes are likely to be strange (potentially negative!)

## Leaving the data unconverted.  It is often advisable to cpm/rpkm
##  the data to normalize for sampling differences, keep in mind though that rpkm
##  has some annoying biases, and voom() by default does a cpm (though hpgl_voom()
##  will try to detect this).

## Leaving the data unnormalized.  This is necessary for DESeq, but
##  EdgeR/limma might benefit from normalization.  Good choices include quantile,
##  size-factor, tmm, etc.

## Not correcting the count-data for batch effects.  If batch is
##  included in EdgerR/limma's model, then this is probably wise; but in extreme
##  batch effects this is a good parameter to play with.

## Step 1: not doing count filtering.

## Step 2: not normalizing the data.

## Step 3: not converting the data.

## The method is: raw.

## Step 4: not doing batch correction.

## Step 4: transforming the data with log2.

plot_pca(macr_v2_norm)$plot

keepers <- list(
  "zymo_sbv" = c("sb_z22", "sb_z23"),
  "uninf_drug" = c("no_uninf", "sb_uninf"),
  "uninfnodrug_z23" = c("no_uninf", "no_z23"),
  "uninfdrug_z23" = c("sb_uninf", "sb_z23"),
  "z23_drug_nodrug" = c("sb_z23", "no_z23"),
  "z22_drug_nodrug" = c("sb_z22", "no_z22")
)
olga_pairwise <- all_pairwise(macr_v2, do_deseq = FALSE, do_edger = FALSE, do_ebseq = FALSE)

## Plotting a PCA before surrogate/batch inclusion.

## Not putting labels on the PC plot.

## Using limma's removeBatchEffect to visualize with(out) batch inclusion.

## Not putting labels on the PC plot.

## Finished running DE analyses, collecting outputs.

## Comparing analyses.

olga_zymo_sb <- olga_pairwise[["limma"]][["all_tables"]][["sb_z23_vs_sb_z22"]]
olga_zymo_sb <- merge(olga_zymo_sb, fData(macr_v2), by = "row.names")
rownames(olga_zymo_sb) <- olga_zymo_sb[["Row.names"]]
olga_zymo_sb[["Row.names"]] <- NULL
olga_zymo_sb[["transcript"]] <- NULL
written <- write_xlsx(data = olga_zymo_sb,
                      excel = glue::glue("excel/sb_23_vs22-v{ver}.xlsx"))

## Saving to: excel/sb_23_vs22-v202103.xlsx

olga_uninf_drug <- olga_pairwise[["limma"]][["all_tables"]][["sb_uninf_vs_no_uninf"]]
olga_uninf_drug <- merge(olga_uninf_drug, fData(macr_v2), by = "row.names")
rownames(olga_uninf_drug) <- olga_uninf_drug[["Row.names"]]
olga_uninf_drug[["Row.names"]] <- NULL
written <- write_xlsx(data = olga_uninf_drug,
                      excel = glue::glue("excel/uninf_sb_vs_nosb-v{ver}.xlsx"))

## Saving to: excel/uninf_sb_vs_nosb-v202103.xlsx

olga_uninfnodrug_z23 <- olga_pairwise[["limma"]][["all_tables"]][["no_z23_vs_no_uninf"]]
olga_uninfnodrug_z23 <- merge(olga_uninfnodrug_z23, fData(macr_v2), by = "row.names")
rownames(olga_uninfnodrug_z23) <- olga_uninfnodrug_z23[["Row.names"]]
olga_uninfnodrug_z23[["Row.names"]] <- NULL
written <- write_xlsx(data = olga_uninfnodrug_z23,
                      excel = glue::glue("excel/no_z23_vs_nosb_uninf-v{ver}.xlsx"))

## Saving to: excel/no_z23_vs_nosb_uninf-v202103.xlsx

olga_uninfdrug_z23 <- olga_pairwise[["limma"]][["all_tables"]][["sb_z23_vs_sb_uninf"]]
olga_uninfdrug_z23 <- merge(olga_uninfdrug_z23, fData(macr_v2), by = "row.names")
rownames(olga_uninfdrug_z23) <- olga_uninfdrug_z23[["Row.names"]]
olga_uninfdrug_z23[["Row.names"]] <- NULL
written <- write_xlsx(data = olga_uninfdrug_z23,
                      excel = glue::glue("excel/sb_z23_vs_sb_uninf-v{ver}.xlsx"))

## Saving to: excel/sb_z23_vs_sb_uninf-v202103.xlsx

olga_z23_drugnodrug <- olga_pairwise[["limma"]][["all_tables"]][["sb_z23_vs_no_z23"]]
olga_z23_drugnodrug <- merge(olga_z23_drugnodrug, fData(macr_v2), by = "row.names")
rownames(olga_z23_drugnodrug) <- olga_z23_drugnodrug[["Row.names"]]
olga_z23_drugnodrug[["Row.names"]] <- NULL
olga_z23_drugnodrug[["transcript"]] <- NULL
written <- write_xlsx(data = olga_z23_drugnodrug,
                      excel = glue::glue("excel/z23_drug_vs_nodrug-v{ver}.xlsx"))

## Saving to: excel/z23_drug_vs_nodrug-v202103.xlsx

olga_z22_drugnodrug <- olga_pairwise[["limma"]][["all_tables"]][["sb_z22_vs_no_z22"]]
olga_z22_drugnodrug <- merge(olga_z22_drugnodrug, fData(macr_v2), by = "row.names")
rownames(olga_z22_drugnodrug) <- olga_z22_drugnodrug[["Row.names"]]
olga_z22_drugnodrug[["Row.names"]] <- NULL
olga_z22_drugnodrug[["transcript"]] <- NULL
written <- write_xlsx(data = olga_z22_drugnodrug,
                      excel = glue::glue("excel/z22_drug_vs_nodrug-v{ver}.xlsx"))

## Saving to: excel/z22_drug_vs_nodrug-v202103.xlsx

10.6 Donor effect

donor <- set_expt_conditions(hs_expt, fact = "donor")
donor <- set_expt_batches(donor, fact = "time")
save_result <- save(donor, file = "rda/donor_expt.rda")
test <- normalize_expt(donor, filter = TRUE, transform = "log2", convert = "cpm", norm = "quant")

## This function will replace the expt$expressionset slot with:

## log2(cpm(quant(cbcb(data))))

## It will save copies of each step along the way
##  in expt$normalized with the corresponding libsizes. Keep libsizes in mind
##  when invoking limma.  The appropriate libsize is non-log(cpm(normalized)).
##  This is most likely kept at:
##  'new_expt$normalized$intermediate_counts$normalization$libsizes'
##  A copy of this may also be found at:
##  new_expt$best_libsize

## Not correcting the count-data for batch effects.  If batch is
##  included in EdgerR/limma's model, then this is probably wise; but in extreme
##  batch effects this is a good parameter to play with.

## Step 1: performing count filter with option: cbcb

## Removing 6154 low-count genes (15327 remaining).

## Step 2: normalizing the data with quant.

## Step 3: converting the data with cpm.

## The method is: raw.

## Step 4: not doing batch correction.

## Step 4: transforming the data with log2.

## transform_counts: Found 78 values equal to 0, adding 1 to the matrix.

plot_pca(test)$plot

## plot labels was not set and there are more than 100 samples, disabling it.

## Not putting labels on the PC plot.

## Warning in MASS::cov.trob(data[, vars]): Probable convergence failure

## Warning in MASS::cov.trob(data[, vars]): Probable convergence failure

## Warning in MASS::cov.trob(data[, vars]): Probable convergence failure

## Warning in MASS::cov.trob(data[, vars]): Probable convergence failure

## Warning in MASS::cov.trob(data[, vars]): Probable convergence failure

## Warning in MASS::cov.trob(data[, vars]): Probable convergence failure

10.7 Question 1

I interpreted question 1 as: pull out tmrc3000[1-6] and look at them.

I am not entirely certain what is meant by the heirarchical clustering request. I can see a couple of possibilities for what this means. The most similar thing I recall in the cruzi context was a post-DE visualization of some fairly specific genes.

hs_q1 <- subset_expt(hs_valid, subset = "donor=='d1010'|donor=='d1011'")

## Using a subset expression.

## There were 105, now there are 6 samples.

q1_norm <- sm(normalize_expt(hs_q1, norm = "quant", transform = "log2", convert = "cpm", batch = FALSE,
                           filter = TRUE))
q1_pca <- plot_pca(q1_norm)
q1_pca$plot

knitr::kable(q1_pca$table)

	sampleid	condition	batch	batch_int	colors	labels	PC1	PC2	pc_1	pc_2	pc_3	pc_4	pc_5
1010-2	1010-2	PBMCs	H. sapiens	1	#1B9E77	1010-2	-0.5013	0.4021	-0.5013	0.4021	0.3574	-0.2377	0.4859
1010-7	1010-7	PBMCs	H. sapiens	1	#1B9E77	1010-7	0.1396	0.4747	0.1396	0.4747	-0.4866	0.5905	0.0550
1010-12	1010-12	PBMCs	H. sapiens	1	#1B9E77	1010-12	0.4882	0.3310	0.4882	0.3310	0.2810	-0.3849	-0.5083
1011-2	1011-2	PBMCs	H. sapiens	1	#1B9E77	1011-2	-0.5616	-0.2969	-0.5616	-0.2969	-0.4031	-0.1985	-0.4774
1011-7	1011-7	PBMCs	H. sapiens	1	#1B9E77	1011-7	0.0166	-0.4683	0.0166	-0.4683	0.5514	0.5516	-0.0740
1011-12	1011-12	PBMCs	H. sapiens	1	#1B9E77	1011-12	0.4186	-0.4426	0.4186	-0.4426	-0.3000	-0.3210	0.5189

write.csv(q1_pca$table, file = "coords/q1_pca_coords.csv")

## Looks like PC1 == Time and PC2 is donor, and they have pretty much the same amount of variance

hs_time <- set_expt_conditions(hs_q1, fact = "time")
time_norm <- sm(normalize_expt(hs_time, filter = TRUE))
time_norm <- normalize_expt(time_norm, transform = "log2")

## This function will replace the expt$expressionset slot with:

## log2(data)

## It will save copies of each step along the way
##  in expt$normalized with the corresponding libsizes. Keep libsizes in mind
##  when invoking limma.  The appropriate libsize is non-log(cpm(normalized)).
##  This is most likely kept at:
##  'new_expt$normalized$intermediate_counts$normalization$libsizes'
##  A copy of this may also be found at:
##  new_expt$best_libsize

## Filter is false, this should likely be set to something, good
##  choices include cbcb, kofa, pofa (anything but FALSE).  If you want this to
##  stay FALSE, keep in mind that if other normalizations are performed, then the
##  resulting libsizes are likely to be strange (potentially negative!)

## Leaving the data unconverted.  It is often advisable to cpm/rpkm
##  the data to normalize for sampling differences, keep in mind though that rpkm
##  has some annoying biases, and voom() by default does a cpm (though hpgl_voom()
##  will try to detect this).

## Leaving the data unnormalized.  This is necessary for DESeq, but
##  EdgeR/limma might benefit from normalization.  Good choices include quantile,
##  size-factor, tmm, etc.

## Not correcting the count-data for batch effects.  If batch is
##  included in EdgerR/limma's model, then this is probably wise; but in extreme
##  batch effects this is a good parameter to play with.

## Step 1: not doing count filtering.

## Step 2: not normalizing the data.

## Step 3: not converting the data.

## The method is: raw.

## Step 4: not doing batch correction.

## Step 4: transforming the data with log2.

## transform_counts: Found 28 values equal to 0, adding 1 to the matrix.

## Get a set of genes with high PC loads for PC1(time), and PC2(donor):
high_scores <- pca_highscores(time_norm, n = 40)

time_stuff <- high_scores$highest[, c(1, 2)]
time_stuff

##       Comp.1                  Comp.2                 
##  [1,] "33.12:ENSG00000129824" "10.68:ENSG00000073756"
##  [2,] "32.92:ENSG00000012817" "9.691:ENSG00000012817"
##  [3,] "29.69:ENSG00000067048" "8.441:ENSG00000125538"
##  [4,] "26.2:ENSG00000114374"  "8.244:ENSG00000129824"
##  [5,] "25.13:ENSG00000198692" "8.118:ENSG00000093134"
##  [6,] "23.93:ENSG00000067646" "7.272:ENSG00000112299"
##  [7,] "21.27:ENSG00000099725" "6.501:ENSG00000123700"
##  [8,] "15.03:ENSG00000282651" "6.5:ENSG00000143365"  
##  [9,] "14.81:ENSG00000241945" "6.429:ENSG00000168329"
## [10,] "13.62:ENSG00000160201" "6.23:ENSG00000143450" 
## [11,] "13.57:ENSG00000112139" "6.064:ENSG00000140092"
## [12,] "13.06:ENSG00000183878" "5.771:ENSG00000211821"
## [13,] "12.16:ENSG00000144115" "5.761:ENSG00000211799"
## [14,] "11.71:ENSG00000080007" "5.664:ENSG00000081041"
## [15,] "11.53:ENSG00000204001" "5.561:ENSG00000171860"
## [16,] "11.52:ENSG00000049247" "5.511:ENSG00000263002"
## [17,] "11.37:ENSG00000248905" "5.448:ENSG00000282651"
## [18,] "10.64:ENSG00000075391" "5.438:ENSG00000126243"
## [19,] "10.22:ENSG00000198848" "5.41:ENSG00000114374" 
## [20,] "9.81:ENSG00000211935"  "5.365:ENSG00000067048"
## [21,] "9.205:ENSG00000154620" "5.337:ENSG00000163568"
## [22,] "8.315:ENSG00000129422" "5.334:ENSG00000125703"
## [23,] "7.791:ENSG00000168874" "5.275:ENSG00000198692"
## [24,] "7.666:ENSG00000131459" "5.236:ENSG00000171115"
## [25,] "7.365:ENSG00000134531" "5.172:ENSG00000123975"
## [26,] "7.342:ENSG00000196436" "5.166:ENSG00000198435"
## [27,] "7.035:ENSG00000107731" "5.163:ENSG00000180626"
## [28,] "6.831:ENSG00000186193" "5.102:ENSG00000162739"
## [29,] "6.82:ENSG00000109321"  "5.093:ENSG00000188886"
## [30,] "6.501:ENSG00000179915" "5.047:ENSG00000280128"
## [31,] "6.487:ENSG00000214102" "5.046:ENSG00000133574"
## [32,] "6.447:ENSG00000177990" "4.995:ENSG00000185220"
## [33,] "6.321:ENSG00000136848" "4.959:ENSG00000163563"
## [34,] "6.174:ENSG00000004809" "4.944:ENSG00000250510"
## [35,] "6.137:ENSG00000176014" "4.935:ENSG00000211793"
## [36,] "6.096:ENSG00000169507" "4.923:ENSG00000112139"
## [37,] "6.093:ENSG00000276085" "4.795:ENSG00000179593"
## [38,] "5.954:ENSG00000140287" "4.791:ENSG00000211803"
## [39,] "5.947:ENSG00000144130" "4.781:ENSG00000160321"
## [40,] "5.895:ENSG00000168765" "4.756:ENSG00000049247"

## Column 1 should be winners vs. time and column 2 by donor.
time_genes <- gsub(x = time_stuff[, "Comp.1"], pattern = "^.*:(.*)$", replacement = "\\1")
head(time_genes)

## [1] "ENSG00000129824" "ENSG00000012817" "ENSG00000067048" "ENSG00000114374"
## [5] "ENSG00000198692" "ENSG00000067646"

time_subset <- exprs(time_norm)[time_genes, ]
plot_sample_heatmap(time_norm, row_label = rownames(time_norm))

hs_donor <- set_expt_conditions(hs_q1, fact = "donor")
donor_norm <- sm(normalize_expt(hs_donor, convert = "cpm", filter = TRUE))
donor_norm <- normalize_expt(donor_norm, transform = "log2")

## This function will replace the expt$expressionset slot with:

## log2(data)

## It will save copies of each step along the way
##  in expt$normalized with the corresponding libsizes. Keep libsizes in mind
##  when invoking limma.  The appropriate libsize is non-log(cpm(normalized)).
##  This is most likely kept at:
##  'new_expt$normalized$intermediate_counts$normalization$libsizes'
##  A copy of this may also be found at:
##  new_expt$best_libsize

## Filter is false, this should likely be set to something, good
##  choices include cbcb, kofa, pofa (anything but FALSE).  If you want this to
##  stay FALSE, keep in mind that if other normalizations are performed, then the
##  resulting libsizes are likely to be strange (potentially negative!)

## Leaving the data unconverted.  It is often advisable to cpm/rpkm
##  the data to normalize for sampling differences, keep in mind though that rpkm
##  has some annoying biases, and voom() by default does a cpm (though hpgl_voom()
##  will try to detect this).

## Leaving the data unnormalized.  This is necessary for DESeq, but
##  EdgeR/limma might benefit from normalization.  Good choices include quantile,
##  size-factor, tmm, etc.

## Not correcting the count-data for batch effects.  If batch is
##  included in EdgerR/limma's model, then this is probably wise; but in extreme
##  batch effects this is a good parameter to play with.

## Step 1: not doing count filtering.

## Step 2: not normalizing the data.

## Step 3: not converting the data.

## The method is: raw.

## Step 4: not doing batch correction.

## Step 4: transforming the data with log2.

## transform_counts: Found 28 values equal to 0, adding 1 to the matrix.

## Get a set of genes with high PC loads for PC1(donor), and PC2(donor):
high_scores <- pca_highscores(donor_norm, n = 40)

donor_stuff <- high_scores$highest[, c(1, 2)]
donor_stuff

##       Comp.1                  Comp.2                 
##  [1,] "11.65:ENSG00000106565" "23.17:ENSG00000129824"
##  [2,] "10.42:ENSG00000176092" "21.04:ENSG00000012817"
##  [3,] "10.04:ENSG00000073756" "20.5:ENSG00000067048" 
##  [4,] "9.736:ENSG00000185736" "18.17:ENSG00000114374"
##  [5,] "8.511:ENSG00000002933" "16.48:ENSG00000099725"
##  [6,] "7.961:ENSG00000125538" "13.52:ENSG00000198692"
##  [7,] "7.678:ENSG00000168280" "12.85:ENSG00000067646"
##  [8,] "7.67:ENSG00000211746"  "11.39:ENSG00000183878"
##  [9,] "7.561:ENSG00000125618" "9.865:ENSG00000112139"
## [10,] "7.048:ENSG00000168329" "8.372:ENSG00000075391"
## [11,] "6.963:ENSG00000093134" "8.276:ENSG00000248905"
## [12,] "6.735:ENSG00000111728" "8.112:ENSG00000049247"
## [13,] "6.673:ENSG00000203972" "8.069:ENSG00000073756"
## [14,] "6.402:ENSG00000127954" "8.007:ENSG00000198848"
## [15,] "6.395:ENSG00000211734" "7.865:ENSG00000276085"
## [16,] "6.371:ENSG00000111863" "7.555:ENSG00000109321"
## [17,] "6.367:ENSG00000107317" "6.882:ENSG00000129422"
## [18,] "6.284:ENSG00000165617" "6.813:ENSG00000112299"
## [19,] "6.17:ENSG00000277734"  "6.602:ENSG00000171860"
## [20,] "6.158:ENSG00000243238" "6.574:ENSG00000125538"
## [21,] "6.15:ENSG00000211934"  "5.937:ENSG00000144115"
## [22,] "6.147:ENSG00000241294" "5.93:ENSG00000101916" 
## [23,] "6.125:ENSG00000211747" "5.92:ENSG00000282651" 
## [24,] "5.943:ENSG00000165899" "5.836:ENSG00000196209"
## [25,] "5.943:ENSG00000131747" "5.802:ENSG00000163563"
## [26,] "5.932:ENSG00000036448" "5.764:ENSG00000241945"
## [27,] "5.928:ENSG00000008517" "5.72:ENSG00000137959" 
## [28,] "5.818:ENSG00000160185" "5.592:ENSG00000171451"
## [29,] "5.804:ENSG00000106351" "5.476:ENSG00000123700"
## [30,] "5.783:ENSG00000127585" "5.393:ENSG00000093134"
## [31,] "5.769:ENSG00000165272" "5.226:ENSG00000125703"
## [32,] "5.76:ENSG00000261150"  "5.197:ENSG00000093217"
## [33,] "5.714:ENSG00000164530" "5.079:ENSG00000284690"
## [34,] "5.641:ENSG00000211890" "5.018:ENSG00000146070"
## [35,] "5.537:ENSG00000171848" "5.004:ENSG00000090382"
## [36,] "5.517:ENSG00000240864" "5:ENSG00000118515"    
## [37,] "5.493:ENSG00000171051" "4.999:ENSG00000211689"
## [38,] "5.429:ENSG00000094804" "4.991:ENSG00000130150"
## [39,] "5.421:ENSG00000211714" "4.955:ENSG00000280128"
## [40,] "5.354:ENSG00000070526" "4.903:ENSG00000004799"

## Column 1 should be winners vs. donor and column 2 by donor.
donor_genes <- gsub(x = donor_stuff[, "Comp.1"], pattern = "^.*:(.*)$", replacement = "\\1")
head(donor_genes)

## [1] "ENSG00000106565" "ENSG00000176092" "ENSG00000073756" "ENSG00000185736"
## [5] "ENSG00000002933" "ENSG00000125538"

donor_subset <- exprs(donor_norm)[donor_genes, ]
plot_sample_heatmap(donor_norm, row_label = rownames(donor_norm))

time_keepers <- list(
  "2hr_vs_7hr" = c("t2hr", "t7hr"),
  "2hr_vs_12hr" = c("t2hr", "t12hr"),
  "7hr_vs_12hr" = c("t7hr", "t12hr"))

q1_time <- set_expt_conditions(hs_q1, fact = "time")
time_de <- sm(all_pairwise(q1_time, model_batch = FALSE, parallel = FALSE))

time_all_tables <- sm(combine_de_tables(time_de,
                                        excel = glue::glue("excel/time_de_tables-v{ver}.xlsx")))

save_result <- save(time_all_tables, file = "rda/time_all_tables.rda")

time_all_tables_all <- sm(combine_de_tables(
  time_de,
  keepers = "all",
  excel = glue::glue("excel/time_de_all_tables-v{ver}.xlsx")))

time_all_tables <- sm(combine_de_tables(
  time_de,
  keepers = time_keepers,
  excel = glue::glue("excel/{rundate}-time_de_tables-v{ver}.xlsx")))

q1_donor <- set_expt_conditions(hs_q1, fact = "donor")
donor_de <- sm(all_pairwise(q1_donor, model_batch = FALSE))
donor_tables <- sm(combine_de_tables(
                     donor_de, excel = glue::glue("excel/donor_de_tables-v{ver}.xlsx")))

save_result <- save(donor_tables, file = "rda/donor_tables.rda")

hs_q2 <- subset_expt(hs_valid, subset = "donor!='d1010'&donor!='d1011'")

## Using a subset expression.

## There were 105, now there are 99 samples.

q2_norm <- sm(normalize_expt(hs_q2, transform = "log2", convert = "cpm", norm = "quant", filter = TRUE))

q2_pca <- plot_pca(q2_norm)
knitr::kable(q2_pca$table)

	sampleid	condition	batch	batch_int	colors	labels	PC1	PC2	pc_1	pc_2	pc_3	pc_4	pc_5	pc_6	pc_7	pc_8	pc_9	pc_10	pc_11	pc_12	pc_13	pc_14	pc_15	pc_16	pc_17	pc_18	pc_19	pc_20	pc_21	pc_22	pc_23	pc_24	pc_25	pc_26	pc_27	pc_28	pc_29	pc_30	pc_31	pc_32	pc_33	pc_34	pc_35	pc_36	pc_37	pc_38	pc_39	pc_40	pc_41	pc_42	pc_43	pc_44	pc_45	pc_46	pc_47	pc_48	pc_49	pc_50	pc_51	pc_52	pc_53	pc_54	pc_55	pc_56	pc_57	pc_58	pc_59	pc_60	pc_61	pc_62	pc_63	pc_64	pc_65	pc_66	pc_67	pc_68	pc_69	pc_70	pc_71	pc_72	pc_73	pc_74	pc_75	pc_76	pc_77	pc_78	pc_79	pc_80	pc_81	pc_82	pc_83	pc_84	pc_85	pc_86	pc_87	pc_88	pc_89	pc_90	pc_91	pc_92	pc_93	pc_94	pc_95	pc_96	pc_97	pc_98
1017n1	1017n1	Neutrophils	H. sapiens	1	#D95F02	1017n1	-0.1189	0.1163	-0.1189	0.1163	-0.1190	-0.0359	0.0738	0.0079	0.0971	-0.0188	-0.2574	0.0032	-0.0333	0.0241	-0.0919	0.2848	-0.1373	0.1320	-0.1378	0.0111	0.1475	-0.0498	-0.3091	0.1464	0.0247	0.4350	0.2402	-0.0085	0.2445	-0.1105	0.1741	-0.2009	0.2504	-0.0232	0.1632	-0.1361	0.1065	-0.0572	0.0164	0.0645	-0.1098	-0.0126	0.0935	-0.0625	-0.0204	-0.0107	-0.0565	0.0558	0.0634	-0.0410	-0.0325	-0.0772	0.0103	0.0106	0.0152	0.0253	0.0008	-0.0744	-0.0156	-0.0309	-0.0285	-0.0252	0.0297	0.0073	0.0346	0.0009	0.0042	-0.0341	-0.0194	-0.0064	-0.0016	-0.0038	-0.0233	0.0072	0.0089	0.0072	0.0166	0.0019	0.0091	0.0132	0.0130	-0.0116	-0.0127	-0.0111	-0.0003	-0.0040	0.0032	0.0173	0.0034	0.0020	0.0021	0.0035	0.0034	0.0022	-0.0025	-0.0021	-0.0005	-0.0015	-0.0021	-0.0007
1017m1	1017m1	Monocytes	H. sapiens	1	#7570B3	1017m1	-0.0382	-0.0972	-0.0382	-0.0972	0.0044	0.1347	0.1006	0.0317	0.1486	-0.1429	-0.2205	0.0202	-0.0920	0.0364	0.0194	0.0901	0.0453	0.0607	-0.0545	0.0647	-0.0711	-0.0514	0.1957	-0.0582	0.0432	0.0604	0.0467	-0.0592	-0.1198	0.0678	0.0352	0.0145	0.0775	-0.0412	0.0702	0.1487	0.0388	-0.0936	-0.0328	-0.1046	-0.0164	-0.0913	-0.0344	-0.0028	-0.0057	0.0112	0.0377	0.0127	-0.0149	0.0401	0.2509	0.0390	0.1388	0.1456	-0.1775	0.3301	-0.0995	0.1892	0.1924	0.3498	0.1491	0.0394	-0.0085	-0.2136	-0.1806	0.0448	0.1236	0.1419	0.0896	0.0058	0.0183	-0.0049	0.0940	0.0684	0.0536	-0.0004	-0.1032	0.0032	-0.0150	-0.0646	-0.0100	0.1182	0.0221	0.0053	-0.0882	0.0153	0.0433	0.0029	0.1065	0.0008	-0.0462	-0.0459	-0.0640	-0.0060	0.0097	0.0063	-0.0284	0.0059	0.0210	0.0086
1034n1	1034n1	Neutrophils	H. sapiens	1	#D95F02	1034n1	-0.1208	0.1110	-0.1208	0.1110	-0.1142	-0.0385	0.0167	0.0291	0.0805	-0.1842	-0.1139	-0.0471	0.0302	-0.1948	-0.2172	0.0437	-0.1105	-0.0241	-0.1124	0.0270	0.0069	-0.0867	-0.1494	-0.0178	-0.1530	-0.1007	-0.1508	0.0372	0.0563	-0.1106	0.0101	-0.1400	-0.1424	0.1113	-0.2311	-0.0544	-0.1839	0.1839	-0.0963	0.1006	0.1649	-0.0878	0.0208	0.0734	0.0979	-0.1149	0.3148	-0.3670	-0.0302	-0.0820	0.1726	0.2734	-0.0365	0.1061	-0.1154	0.0420	0.0152	-0.0980	0.0674	-0.0878	-0.0189	0.0329	0.0370	-0.0376	-0.0563	-0.0392	-0.0396	0.0194	-0.0462	0.0019	-0.0162	-0.0114	0.0044	0.0661	-0.0082	0.0045	0.0076	0.0093	0.0093	0.0162	-0.0206	0.0130	-0.0150	0.0021	-0.0015	-0.0031	0.0055	0.0016	-0.0029	-0.0051	0.0066	0.0031	0.0018	-0.0094	-0.0004	0.0048	0.0048	-0.0024	-0.0026	-0.0032
1034bp1	1034bp1	Biopsy	H. sapiens	1	#E7298A	1034bp1	0.1299	0.0463	0.1299	0.0463	0.0068	0.0431	-0.2201	-0.0115	-0.0619	-0.0991	-0.1491	-0.0281	-0.1287	-0.0327	0.0625	-0.1159	-0.1341	0.0037	0.0311	0.1433	0.0114	0.0100	0.0229	0.1232	0.0180	-0.0261	-0.0310	-0.0681	0.0903	0.1275	0.0575	0.1337	-0.0048	-0.0077	-0.0387	-0.0590	0.0544	-0.0082	0.0639	0.1989	-0.0469	0.0140	-0.1450	0.0479	0.0002	-0.0780	-0.0602	0.0239	0.1007	-0.2394	-0.3466	0.1727	-0.3134	-0.0139	0.0139	0.2555	-0.0022	-0.1076	0.0852	0.0297	0.3544	0.1084	-0.1759	0.0699	-0.0338	0.1629	-0.0572	0.0384	0.0292	-0.1347	0.0689	0.0842	-0.0360	0.0048	-0.0625	-0.0085	-0.0057	-0.0291	0.0468	-0.0057	-0.0132	0.0024	-0.0371	0.0302	0.0148	-0.0474	0.0167	-0.0153	0.0162	0.0062	-0.0005	-0.0080	-0.0280	0.0134	-0.0057	0.0162	-0.0096	0.0147	-0.0110	0.0098
1034n2	1034n2	Neutrophils	H. sapiens	1	#D95F02	1034n2	-0.1198	0.1170	-0.1198	0.1170	-0.1357	-0.0395	-0.0125	0.0144	0.0956	-0.1908	-0.1060	-0.0878	0.0330	-0.1985	-0.2888	-0.0880	-0.0781	-0.1765	-0.1809	-0.0224	-0.0247	-0.0391	-0.1017	-0.1617	-0.2265	-0.1302	-0.2617	0.0698	-0.1745	0.0871	-0.0493	0.0360	0.0512	0.0230	0.0382	-0.3428	0.0727	-0.0929	0.1600	-0.2275	-0.1210	-0.1026	-0.1267	0.0028	-0.1116	0.0481	-0.1457	0.3004	-0.0701	0.0534	-0.0950	-0.0693	0.0529	-0.0211	0.0826	-0.0360	-0.0128	0.1205	-0.0481	0.0700	0.0099	-0.0515	-0.0765	0.0368	-0.0209	-0.0010	0.0099	0.0063	0.0126	0.0334	-0.0324	0.0291	-0.0200	-0.0171	-0.0143	0.0028	0.0129	-0.0119	-0.0176	-0.0047	0.0148	-0.0105	0.0162	0.0219	0.0038	-0.0194	-0.0018	0.0100	-0.0081	0.0048	0.0043	-0.0098	0.0064	-0.0048	0.0052	-0.0011	0.0038	0.0068	-0.0010	-0.0016
1034m2	1034m2	Monocytes	H. sapiens	1	#7570B3	1034m2	-0.0366	-0.0995	-0.0366	-0.0995	-0.0182	0.1191	0.1131	0.0683	0.1264	-0.2658	-0.1765	0.0610	-0.0548	-0.1061	-0.0536	0.0474	0.0364	0.0710	-0.0331	0.0751	0.0085	-0.0258	0.2889	-0.0048	-0.0259	-0.0394	0.0012	-0.0499	-0.0261	0.0799	-0.0672	-0.0655	-0.0104	-0.1369	0.0120	0.0923	0.0184	-0.0268	-0.1440	0.1392	0.0610	0.1416	0.0293	0.0389	0.0291	0.0229	-0.0719	0.0158	0.0649	-0.0226	-0.0607	-0.0468	0.0131	-0.1203	0.1759	-0.1252	0.0710	-0.0584	-0.0659	-0.1286	-0.1155	0.0416	0.0711	0.0184	0.0134	-0.0169	-0.0748	-0.0668	0.0713	-0.0337	0.0610	-0.0353	0.0433	-0.0009	-0.0121	0.0457	0.1002	-0.1405	-0.0721	0.0589	0.2579	0.3324	0.0965	0.1575	0.3537	-0.0711	-0.1809	0.0698	0.0671	-0.1175	0.0379	0.0014	-0.0092	0.0235	0.0285	-0.0102	0.0085	-0.0085	0.0022	0.0055
1034m2-	1034m2-	Monocytes	H. sapiens	1	#7570B3	1034m2-	-0.0402	-0.0935	-0.0402	-0.0935	-0.0099	0.1123	0.1187	0.0685	0.1279	-0.2623	-0.1967	0.0444	-0.0419	-0.1367	-0.0490	0.0342	0.1101	0.0133	0.0030	0.0596	0.0459	-0.0463	0.2745	0.0054	-0.0553	0.0071	0.0134	-0.0664	-0.0253	0.0753	-0.1185	-0.0556	0.0319	-0.1316	-0.0177	0.1498	-0.0025	-0.0191	-0.0049	0.0774	0.0876	0.0709	0.0388	0.0076	0.0592	0.0548	-0.0314	0.0138	0.0503	0.0314	-0.0866	-0.0846	-0.0164	-0.1003	0.0697	-0.1281	0.0783	-0.1189	-0.0605	-0.0883	-0.0185	0.0455	0.0235	0.0537	0.0806	0.0119	0.0269	0.0009	-0.1009	0.0045	-0.0408	0.0474	-0.0454	-0.0292	0.0094	-0.0771	-0.0291	0.1675	0.0972	-0.0832	-0.2638	-0.4151	-0.0872	-0.1632	-0.2980	0.1074	0.1054	-0.0446	-0.1552	0.1317	-0.0584	-0.0289	0.0351	-0.0330	-0.0252	-0.0115	0.0138	0.0067	0.0162	-0.0129
2050bp1	2050bp1	Biopsy	H. sapiens	1	#E7298A	2050bp1	0.1098	0.0146	0.1098	0.0146	0.0111	0.0384	-0.2256	0.0675	0.2707	0.1072	0.0029	0.0035	0.1505	-0.0733	0.0597	0.1000	0.2347	0.0772	-0.2383	-0.0896	-0.0810	-0.0198	0.1037	-0.1053	0.0049	-0.0046	0.0221	-0.2287	-0.0544	-0.1736	0.0218	0.1076	0.0461	0.2890	-0.0602	-0.0420	0.1218	0.0291	-0.1343	-0.0297	-0.0017	0.0593	0.1181	-0.2957	0.1444	-0.1296	0.0477	0.1016	-0.1369	-0.1216	-0.1757	0.0456	-0.0427	0.0880	-0.0256	-0.0409	0.0061	-0.0052	0.0540	0.0697	-0.1405	0.1182	-0.1271	-0.0543	0.1681	-0.0748	-0.0339	-0.0663	0.0593	0.1506	0.1233	0.0471	-0.0318	0.0765	-0.1149	-0.0035	-0.0182	-0.0069	0.0851	-0.0371	0.0033	0.0034	0.0411	-0.0272	0.0181	-0.0384	0.0441	-0.0141	0.0052	0.0081	-0.0282	0.0166	0.0048	-0.0034	0.0049	-0.0086	0.0426	0.0103	-0.0043	-0.0026
2052bp1	2052bp1	Biopsy	H. sapiens	1	#E7298A	2052bp1	0.1296	0.0562	0.1296	0.0562	0.0142	0.0440	-0.2243	-0.0265	-0.1390	-0.0813	-0.1539	-0.0633	-0.0841	0.0690	0.0675	-0.1253	-0.0288	0.0077	-0.0334	-0.0042	-0.0865	-0.0430	-0.0366	0.0634	0.0320	-0.1029	0.0485	-0.2116	0.1879	0.1820	-0.0434	0.1008	0.1076	-0.0446	-0.0485	-0.1747	-0.1364	0.0377	-0.0608	0.0682	0.0294	-0.0562	0.2669	-0.0651	0.0586	0.1838	-0.0822	0.0398	-0.3159	-0.0332	0.2264	-0.0025	0.0666	-0.1231	0.0644	0.2219	0.0372	0.1224	-0.1061	-0.1844	-0.2060	0.0181	0.0385	0.1697	-0.1365	-0.0884	0.1974	0.0155	0.0039	0.0314	0.0515	-0.0607	0.0141	-0.0025	0.0145	0.0550	-0.0961	0.1179	-0.0449	0.0437	0.0029	-0.0397	-0.0536	0.0560	-0.0264	-0.0388	-0.0274	-0.0065	-0.0101	-0.0157	-0.0046	0.0041	-0.0125	0.0010	-0.0195	0.0103	0.0114	-0.0097	-0.0053	-0.0030
2052e1	2052e1	Eosinophils	H. sapiens	1	#66A61E	2052e1	-0.0924	0.0265	-0.0924	0.0265	0.2182	-0.0708	0.0008	0.0139	-0.0445	0.0279	0.1004	0.0707	0.0078	0.1618	0.1360	0.0365	-0.1592	0.1007	-0.2721	0.0918	-0.0771	0.0179	0.0259	-0.0447	0.0186	-0.0285	-0.1056	0.0832	-0.1539	0.0875	0.2557	-0.0406	0.0332	0.0026	-0.2150	-0.1357	-0.0211	-0.0086	-0.2044	0.0619	0.2976	-0.1908	0.1417	0.0364	-0.0907	0.2039	-0.1745	0.1272	0.2488	-0.0254	-0.0756	0.0116	0.0993	0.1540	-0.0282	-0.0751	0.1971	-0.1162	-0.0772	0.0261	0.0836	0.0462	0.1234	-0.0375	0.0517	0.0237	0.0661	0.0802	-0.0396	0.0405	0.1169	-0.0281	0.0750	0.0910	0.0232	-0.0593	0.0023	-0.0028	-0.0592	-0.0378	-0.0155	-0.0688	-0.0094	-0.0065	-0.0353	-0.0259	-0.0134	-0.0162	0.0355	-0.0396	0.0122	0.0569	-0.0035	0.0267	0.0249	-0.0050	-0.0081	0.0349	0.0216	-0.0110
2052m2	2052m2	Monocytes	H. sapiens	1	#7570B3	2052m2	-0.0386	-0.0859	-0.0386	-0.0859	-0.0092	0.1550	0.1060	0.0488	-0.0272	-0.0521	0.0671	0.1241	0.0425	0.1729	0.2902	-0.0515	0.0072	-0.0396	-0.1105	-0.0564	0.0529	-0.0731	-0.3424	-0.0567	-0.2504	0.1323	-0.5015	-0.3375	0.1985	0.0186	-0.0724	-0.0081	-0.1103	-0.0600	0.0553	0.2456	0.0829	-0.1832	-0.0778	0.0130	-0.0126	0.0511	-0.0919	0.0376	0.0182	0.0042	-0.0118	0.0578	0.0206	0.0029	0.0387	0.0335	-0.0099	-0.0087	-0.0101	-0.0219	-0.0387	-0.0371	0.0114	-0.0255	-0.0110	-0.0480	-0.0369	0.0034	-0.0100	-0.0494	0.0096	-0.0363	0.0330	0.0061	0.0428	-0.0244	-0.0022	0.0252	0.0050	0.0258	-0.0207	-0.0263	0.0089	0.0018	-0.0260	-0.0057	-0.0036	0.0049	-0.0085	0.0034	-0.0010	0.0156	-0.0069	-0.0140	-0.0053	-0.0013	-0.0089	0.0011	0.0020	-0.0022	-0.0076	-0.0023	0.0037	0.0016
2052n2	2052n2	Neutrophils	H. sapiens	1	#D95F02	2052n2	-0.1168	0.1175	-0.1168	0.1175	-0.1304	-0.0300	0.0151	0.0123	-0.0342	-0.0233	0.1036	0.0504	0.0767	0.1363	0.2045	-0.1026	-0.0705	-0.3751	-0.2653	-0.0256	0.3544	-0.4087	0.2476	0.1908	0.3239	-0.0323	0.0825	-0.0463	-0.0242	-0.1316	-0.0866	-0.1307	-0.1148	-0.0352	-0.0808	-0.0900	-0.0070	-0.0702	-0.0249	-0.0091	-0.1018	-0.0367	-0.1010	0.0082	-0.0263	-0.0527	0.0470	0.0305	-0.0631	0.0584	-0.0139	0.0004	-0.0091	-0.0293	-0.0198	0.0469	0.0691	0.0314	0.0219	-0.0157	-0.0144	0.0141	0.0197	-0.0186	-0.0190	-0.0047	-0.0162	0.0281	0.0116	0.0156	-0.0046	-0.0159	-0.0219	-0.0197	-0.0203	-0.0312	0.0165	0.0172	0.0023	-0.0060	0.0137	0.0009	-0.0104	0.0046	0.0055	0.0022	-0.0075	0.0106	-0.0130	-0.0055	0.0080	-0.0012	0.0041	-0.0066	0.0094	0.0038	-0.0035	-0.0039	-0.0001	0.0001
2052m3	2052m3	Monocytes	H. sapiens	1	#7570B3	2052m3	-0.0378	-0.0859	-0.0378	-0.0859	-0.0157	0.1598	0.0356	0.0076	-0.0361	-0.0481	0.0895	0.0986	0.0342	0.1236	0.1534	-0.0345	0.0167	-0.0693	-0.0635	0.0094	-0.0067	-0.0089	-0.0503	-0.0586	-0.1740	0.0796	-0.0360	0.0865	0.0354	0.0452	-0.0131	0.0233	0.1258	0.0439	0.0746	-0.1018	-0.0679	0.2951	0.1793	-0.0063	0.1034	0.0714	0.1618	-0.0644	0.0442	0.0730	0.1520	-0.0992	-0.0745	0.0119	-0.0807	-0.1413	0.0379	-0.1008	0.0670	0.1049	0.0668	0.1396	0.0194	0.1827	0.0912	0.1785	0.1858	-0.0382	0.0629	0.1274	-0.0738	0.0620	-0.0233	-0.0361	-0.1619	0.1307	-0.0789	-0.0887	-0.2020	-0.2487	0.3292	0.1639	0.0043	-0.0060	0.1160	0.0935	-0.0370	0.0002	0.0874	0.0628	0.0229	-0.0525	-0.0486	0.0806	-0.0214	-0.0093	0.0521	-0.0996	0.0372	0.0071	-0.0192	-0.0012	-0.0293	-0.0061
2052n3	2052n3	Neutrophils	H. sapiens	1	#D95F02	2052n3	-0.1122	0.1266	-0.1122	0.1266	-0.1231	-0.0184	-0.0244	-0.0135	-0.0207	-0.0226	0.1018	0.0461	-0.0079	0.0956	0.0721	-0.0916	0.0220	-0.2355	-0.1169	0.0386	0.0323	-0.0409	0.1104	-0.0487	-0.0871	0.0148	0.0492	0.1127	-0.0033	0.1070	0.0642	0.0992	0.2513	0.0536	0.1810	0.0906	0.0764	0.1375	0.1071	-0.0046	0.1760	0.1072	0.2131	0.0379	0.0307	0.1179	-0.1054	-0.1595	0.0530	-0.1899	0.0799	0.1773	0.0092	-0.0011	0.1237	-0.1733	-0.3408	0.0024	0.0410	0.0843	0.0437	-0.0448	-0.0537	0.0323	0.0197	-0.0947	-0.1041	-0.1326	-0.0627	-0.0403	-0.0366	0.1157	0.0744	0.0272	0.0917	0.2884	-0.1873	-0.1753	0.0273	0.0099	-0.0202	-0.0507	0.0379	-0.0163	-0.0067	0.0194	0.0307	0.0077	0.0434	0.0266	-0.0084	-0.0195	-0.0119	0.0195	-0.0238	-0.0114	0.0139	-0.0078	-0.0037	0.0034
2065m1	2065m1	Monocytes	H. sapiens	1	#7570B3	2065m1	-0.0328	-0.1128	-0.0328	-0.1128	-0.0024	0.1630	-0.0428	-0.0504	-0.1296	0.1521	0.1775	-0.0234	-0.0368	-0.1898	-0.1971	-0.0013	-0.0406	-0.0125	-0.1214	0.0611	-0.0309	0.0168	-0.0125	0.0636	0.0917	0.0838	-0.0580	-0.0857	0.0305	-0.0319	-0.1184	-0.0464	-0.0516	-0.0637	0.0240	-0.1251	0.0903	0.0262	-0.0438	0.1080	0.1638	0.2230	0.0281	0.0250	-0.0063	-0.0390	-0.0512	-0.0220	0.0936	0.0274	0.0297	-0.1126	0.0412	-0.0290	-0.0957	0.0397	0.0312	-0.0162	0.0060	0.1040	-0.0100	-0.0366	-0.1188	0.0442	-0.0020	0.1711	0.0738	0.0050	-0.0926	0.1971	-0.1609	0.1066	0.1218	-0.0651	0.0237	0.0504	-0.3257	0.0918	0.0106	-0.1822	-0.1050	0.3024	-0.1312	-0.0692	0.0335	-0.0484	-0.0974	-0.0944	-0.2050	0.0265	0.1431	0.0635	0.1502	-0.0574	0.0158	0.0555	0.0273	0.0014	-0.0095	-0.0086
2065n1	2065n1	Neutrophils	H. sapiens	1	#D95F02	2065n1	-0.1005	0.1020	-0.1005	0.1020	-0.1073	0.0136	-0.0513	-0.0195	-0.1122	0.0867	0.1842	0.0794	-0.1027	-0.1352	0.0271	-0.0193	0.0696	0.1309	0.0809	0.1363	-0.0559	-0.0263	0.2259	0.0720	-0.1981	-0.0982	-0.0924	0.0081	0.2235	-0.0503	-0.0591	-0.2236	0.0677	0.0858	0.0658	0.0128	-0.0117	0.0062	-0.0753	0.0835	-0.1155	-0.1965	0.0561	-0.0239	-0.0266	-0.0292	-0.0082	0.0231	0.0495	0.0260	0.0003	-0.2360	-0.0152	0.2650	-0.0406	0.0622	0.0165	0.0345	0.0669	-0.0701	-0.0004	-0.0289	-0.0442	0.0017	-0.0413	0.0172	0.0682	-0.0218	0.0537	0.0241	-0.1172	0.0964	-0.0789	-0.1535	-0.0997	-0.0140	-0.1187	-0.2024	-0.0030	-0.0654	0.3069	-0.2349	0.0826	0.0646	-0.0337	0.0808	-0.0253	-0.1886	0.0394	-0.1023	-0.0675	-0.0415	-0.0314	-0.0352	-0.0122	-0.0033	0.0183	0.0007	-0.0107	-0.0041
2065bp1	2065bp1	Biopsy	H. sapiens	1	#E7298A	2065bp1	0.1246	0.0402	0.1246	0.0402	-0.0123	0.0396	-0.2193	-0.1328	-0.2187	-0.0951	-0.1213	-0.3515	0.0988	-0.0393	0.1370	0.0434	0.1808	0.0041	-0.1334	0.0634	0.0061	0.0914	-0.0302	0.1093	-0.0366	-0.0487	-0.0442	0.0730	0.0417	-0.2795	0.0035	-0.0365	0.1668	-0.2174	0.0119	0.0743	-0.0766	-0.0233	-0.1796	-0.2990	0.1277	-0.0034	-0.0887	0.1263	0.2098	-0.1714	-0.1103	-0.0113	-0.0034	0.0904	0.0122	-0.0776	-0.0591	0.0794	0.0033	-0.0833	-0.0023	0.0385	-0.1379	0.0958	0.0802	0.1184	0.0628	-0.0506	0.0027	0.0437	-0.0912	-0.0981	-0.0336	-0.0978	-0.0946	-0.0183	0.0884	-0.0558	0.1131	-0.0167	0.0473	-0.0122	-0.1168	0.0691	-0.0138	-0.0165	-0.0319	0.0097	-0.0068	-0.0117	-0.0259	-0.0059	0.0135	0.0105	-0.0003	0.0043	-0.0027	0.0013	0.0002	-0.0065	0.0124	0.0060	-0.0123	-0.0032
2066m1	2066m1	Monocytes	H. sapiens	1	#7570B3	2066m1	-0.0322	-0.1084	-0.0322	-0.1084	0.0027	0.1646	0.0057	-0.0477	0.0043	-0.0188	0.0375	0.0187	-0.0305	0.1037	-0.0301	0.0553	-0.0539	-0.0206	0.0765	0.0371	0.0491	-0.0542	0.0030	-0.0254	-0.0630	0.0837	0.0443	0.1296	-0.0462	0.1346	0.1352	0.0593	-0.0488	0.2809	0.0017	0.0618	-0.0791	0.0476	-0.1385	-0.2011	-0.1013	-0.0248	-0.1370	0.0267	0.0717	-0.0354	-0.0784	0.0203	-0.0505	0.0261	-0.0155	-0.0279	-0.0451	0.0519	0.0238	0.1776	0.0751	-0.0900	-0.0787	-0.0983	-0.0790	0.1101	0.1124	-0.0720	0.0081	-0.1399	-0.0455	-0.0249	-0.0853	-0.0425	-0.1206	0.0890	-0.1010	-0.1385	0.0165	-0.0267	-0.2883	0.0185	-0.0155	-0.1184	-0.2266	-0.1355	0.0156	0.1433	0.4214	0.0561	0.1105	0.1432	-0.0811	0.0489	0.1519	0.0314	-0.0716	0.1088	-0.0454	-0.0085	0.0002	0.0088	0.0028	0.0055
2066n1	2066n1	Neutrophils	H. sapiens	1	#D95F02	2066n1	-0.1188	0.1061	-0.1188	0.1061	-0.1053	-0.0153	-0.0042	-0.0132	0.0021	0.0094	0.0149	0.0218	-0.0386	0.0598	-0.0135	0.1320	-0.0156	0.0317	0.0151	0.0921	0.0160	-0.1573	-0.0131	-0.0139	-0.0690	0.0571	0.1128	0.0728	0.0066	0.0643	0.0693	0.1246	-0.0956	0.2333	-0.0829	0.2421	-0.1210	0.1237	-0.0542	-0.1806	0.1305	0.0939	-0.1454	0.0064	0.0518	-0.0231	-0.1744	-0.0263	-0.0069	0.0544	0.0291	-0.0199	-0.1386	-0.0571	0.1104	-0.0008	-0.0692	0.0181	-0.2192	0.0162	-0.0860	-0.1963	-0.3006	0.0737	0.0410	0.2954	0.3268	0.1074	0.0881	0.0685	-0.0037	-0.1483	0.0749	0.0589	-0.0865	-0.0394	0.1660	0.0190	0.0306	0.0878	0.0373	0.0259	-0.0092	0.0521	-0.0538	0.0648	-0.0282	-0.1445	-0.0060	-0.0327	0.0105	0.0065	0.0182	-0.0227	0.0358	-0.0020	-0.0099	0.0047	0.0120	0.0050
2066bp1	2066bp1	Biopsy	H. sapiens	1	#E7298A	2066bp1	0.1276	0.0537	0.1276	0.0537	-0.0040	0.0409	-0.1802	0.0616	-0.1158	-0.0450	-0.1449	-0.0891	-0.0053	0.0393	0.0518	-0.1024	-0.1490	0.0020	0.0946	0.1931	-0.0924	-0.1231	-0.0032	0.0395	0.0357	0.1803	-0.0525	0.1006	-0.0065	0.1621	-0.0381	0.0520	0.0717	0.0335	-0.1462	0.0254	-0.2599	0.0006	-0.0549	-0.0722	-0.1696	0.1458	-0.1511	-0.2547	-0.1070	0.1617	0.2137	0.0617	0.1475	0.0613	0.0277	-0.0508	0.0464	0.0531	-0.0574	-0.2567	-0.0315	-0.0839	0.3322	0.0525	-0.1055	-0.0871	0.0063	-0.0321	0.0551	-0.0196	-0.0327	-0.2220	0.0158	0.1812	0.0076	0.0644	0.1451	-0.0444	0.0635	-0.0332	0.0561	0.0507	-0.0180	0.0039	0.0330	0.0106	0.0089	-0.0299	-0.0007	0.0282	-0.0085	-0.0112	0.0075	0.0125	-0.0029	0.0129	-0.0062	-0.0318	-0.0019	-0.0029	0.0070	-0.0025	0.0042	-0.0036
2065m2	2065m2	Monocytes	H. sapiens	1	#7570B3	2065m2	-0.0384	-0.1189	-0.0384	-0.1189	0.0056	0.1525	-0.0170	-0.0870	-0.0888	0.2009	0.0818	-0.0317	-0.0518	-0.1024	-0.2399	0.0461	0.0131	-0.0684	-0.1320	0.0651	-0.0337	0.0416	0.0103	0.1236	0.1229	0.1141	-0.0585	-0.0548	-0.0600	0.0795	-0.1584	0.0475	0.0456	-0.0895	0.0691	-0.0145	0.0853	-0.0300	-0.0405	0.0154	0.1719	0.0732	0.0228	-0.0260	-0.0559	-0.0248	0.0545	-0.0544	0.0162	0.0841	0.0734	0.0902	-0.0089	-0.0864	-0.1990	0.0618	0.0492	0.0411	0.0172	0.1308	0.0381	-0.1498	-0.0723	0.2375	0.0763	-0.0368	-0.0333	-0.0407	-0.0693	0.0505	0.1279	-0.0737	-0.0598	0.0767	-0.0259	-0.1040	0.2020	-0.0539	-0.0843	0.1520	0.0472	-0.3483	0.1294	0.1588	0.2051	0.0587	0.1609	0.1338	0.1318	-0.0035	-0.0610	-0.0339	-0.1771	0.0485	-0.0444	-0.0249	-0.0099	0.0057	0.0093	0.0221
2065n2	2065n2	Neutrophils	H. sapiens	1	#D95F02	2065n2	-0.1101	0.1096	-0.1101	0.1096	-0.1067	-0.0046	-0.0489	-0.0638	-0.0791	0.1840	0.0836	0.0576	-0.1011	-0.0111	0.0287	0.0067	0.0887	0.0437	0.0669	0.1042	-0.0178	0.1288	0.2514	0.0677	-0.1076	0.0858	-0.1462	0.0749	0.0375	0.1340	-0.1123	-0.1699	0.1502	0.0462	0.2218	-0.0866	0.1248	-0.0499	-0.0842	-0.0618	-0.0613	-0.1852	-0.0279	-0.0677	0.0596	0.0671	0.1299	-0.0073	-0.0995	0.2040	-0.0591	0.3431	-0.0733	0.0269	0.0347	-0.0549	0.0002	-0.0587	-0.0350	-0.1452	-0.0108	0.0049	0.0562	-0.0897	0.0748	0.0882	0.0722	0.0307	0.1144	-0.0493	0.1295	-0.1177	0.0116	0.0151	0.0578	-0.0029	0.1139	0.1910	0.0029	0.0366	-0.2365	0.2267	-0.0808	-0.1063	-0.0069	-0.0678	-0.0032	0.1206	-0.0025	0.0480	0.0350	0.0365	0.0175	0.0246	0.0102	0.0059	-0.0142	-0.0017	0.0082	0.0024
2066m2	2066m2	Monocytes	H. sapiens	1	#7570B3	2066m2	-0.0350	-0.1036	-0.0350	-0.1036	0.0030	0.1556	0.0044	-0.0473	-0.1005	0.1632	0.0948	0.0129	-0.1209	-0.0927	-0.1556	0.0175	-0.0234	-0.0233	-0.1366	0.1022	-0.0393	-0.0544	-0.0141	0.0106	0.0362	0.1506	-0.0018	0.0197	-0.0778	0.1456	0.0610	0.0560	0.0183	0.1273	-0.0514	0.1266	-0.0324	0.1174	-0.0559	-0.1620	-0.0311	0.1054	-0.1377	0.0622	-0.0095	-0.0603	-0.0518	0.0337	-0.0649	-0.0223	-0.0504	-0.0732	-0.0221	-0.0782	-0.0175	0.1166	0.1223	-0.0097	0.0092	-0.1442	-0.0718	0.0616	0.1598	-0.0169	-0.0643	-0.2755	-0.2015	0.0471	-0.0378	-0.1914	0.0805	0.0114	-0.1454	0.0677	0.0102	0.1384	0.0386	-0.0704	0.0118	0.0846	0.1610	0.1249	-0.0068	-0.1648	-0.4319	-0.1404	-0.0888	-0.0613	0.0604	-0.0460	-0.1056	-0.0351	0.0807	-0.0140	0.0116	-0.0020	-0.0184	-0.0107	-0.0154	-0.0017
2068m1	2068m1	Monocytes	H. sapiens	1	#7570B3	2068m1	-0.0338	-0.1143	-0.0338	-0.1143	0.0074	0.1741	-0.0310	-0.0581	-0.0546	0.2005	-0.0308	-0.1439	0.0061	-0.0815	-0.1601	-0.0605	-0.1608	-0.0530	-0.0288	-0.0762	0.0595	0.0175	-0.0022	-0.0143	0.0438	-0.0690	0.0330	-0.0392	0.0651	-0.1095	0.0324	0.0142	-0.0505	0.0621	-0.0298	0.1105	-0.0155	-0.0568	0.0893	0.1006	0.0658	-0.0293	0.0539	-0.0284	0.1194	0.1456	-0.0778	0.2046	0.1858	-0.1087	0.0699	0.0858	0.0206	-0.1018	0.0175	-0.1046	-0.1823	0.1140	0.0632	-0.2259	0.0528	0.2238	0.0731	-0.3379	-0.1151	0.0715	0.0326	-0.0181	0.2839	0.1564	-0.1769	-0.1339	-0.1808	-0.0235	0.0597	-0.0302	0.1411	-0.0254	0.0908	0.0671	-0.0376	-0.0629	-0.0026	0.1027	-0.0245	0.0953	0.0438	0.0040	0.0535	0.0184	0.0752	0.0013	0.0518	0.0177	-0.0304	-0.0066	0.0282	0.0116	-0.0109	-0.0005
2068n1	2068n1	Neutrophils	H. sapiens	1	#D95F02	2068n1	-0.1138	0.0977	-0.1138	0.0977	-0.0884	0.0020	-0.0411	-0.0362	-0.0293	0.1910	-0.0668	-0.0366	-0.0556	0.0095	0.0530	0.0460	-0.0483	0.1823	0.0908	-0.0426	0.0964	0.0502	0.1667	-0.1070	-0.1002	0.0274	-0.0222	-0.0884	0.0729	-0.0906	-0.0462	-0.1008	-0.1521	0.0224	-0.1437	-0.0124	-0.1164	0.0790	0.0869	-0.0063	-0.0519	-0.0921	-0.0882	-0.0018	-0.0267	-0.0441	-0.0116	0.1145	0.1209	-0.2826	0.1776	0.0268	0.1172	-0.2340	0.1118	-0.0110	0.0719	0.0533	-0.1144	0.3713	0.0269	0.0352	0.0849	0.1862	0.0575	-0.0664	-0.1568	-0.0106	-0.0416	0.0252	0.2305	-0.0980	-0.0019	-0.3202	0.0152	0.1039	-0.0252	0.0260	0.0226	0.0685	-0.1299	0.0468	0.0084	-0.0229	0.0048	0.0738	0.0220	-0.0267	0.0241	-0.0183	0.0019	-0.0017	0.0319	0.0091	-0.0176	0.0026	0.0035	0.0073	0.0033	-0.0062
2068e1	2068e1	Eosinophils	H. sapiens	1	#66A61E	2068e1	-0.0890	0.0268	-0.0890	0.0268	0.2175	-0.0518	-0.0075	0.0051	-0.0589	0.1651	-0.0662	-0.0605	-0.0400	-0.1200	-0.0301	-0.0561	0.0044	-0.0237	0.0816	-0.0501	0.1507	-0.0068	0.1038	-0.0760	-0.1375	0.0037	-0.0249	-0.0818	0.0415	-0.0477	0.1704	-0.1329	0.0127	0.0392	-0.1031	-0.0115	-0.0905	-0.2153	0.0598	-0.0339	-0.0057	0.1865	-0.0166	0.0030	-0.1000	0.0317	0.0021	-0.1111	-0.2292	0.0543	-0.0435	-0.0660	0.0532	-0.1217	0.0780	0.0750	-0.2291	0.0142	0.1113	-0.0459	0.1263	0.0927	0.0920	-0.1192	0.2271	0.0779	0.1162	-0.0391	-0.3091	-0.0644	0.1750	-0.1087	0.0409	0.1763	0.0021	-0.0429	0.0035	-0.0846	-0.1690	-0.1482	0.1220	-0.0037	0.0236	0.0857	-0.0208	0.0345	0.0250	-0.0902	-0.1094	0.1160	0.0519	0.1239	-0.0369	0.1582	0.0219	0.0018	-0.0080	-0.0041	-0.0027	0.0045
2068bp1	2068bp1	Biopsy	H. sapiens	1	#E7298A	2068bp1	0.1169	0.0303	0.1169	0.0303	-0.0009	0.0267	-0.0809	0.2622	0.2259	0.1503	0.0438	-0.1457	0.1183	0.0665	-0.0391	-0.0374	0.0482	0.0330	-0.0126	-0.0465	-0.1549	-0.1166	0.0364	-0.0267	0.0210	0.0484	-0.0121	-0.0890	0.0021	0.0472	-0.0091	-0.0772	0.0031	-0.0531	-0.0870	-0.0463	0.0779	-0.0531	0.1585	-0.0249	0.0852	-0.0012	-0.0678	-0.0530	-0.0483	-0.0412	0.0084	-0.1439	0.3290	0.1185	0.0011	0.0119	-0.3020	0.1059	0.2274	0.1236	-0.0816	0.2350	-0.0818	-0.0519	-0.0951	-0.2157	0.3592	0.0154	-0.1432	0.0897	0.0258	-0.0940	-0.1051	-0.0962	-0.0037	-0.0370	-0.0471	-0.0150	-0.0270	0.0345	-0.0727	0.0967	-0.0145	-0.0052	0.0018	-0.0197	0.0275	0.0213	0.0046	-0.0198	-0.0052	0.0030	0.0034	-0.0038	-0.0136	-0.0091	-0.0070	0.0015	-0.0130	-0.0019	-0.0099	0.0046	-0.0028	-0.0199
2072m1	2072m1	Monocytes	H. sapiens	1	#7570B3	2072m1	-0.0420	-0.0936	-0.0420	-0.0936	-0.0008	0.1471	0.1498	0.0447	-0.0792	0.1792	-0.0856	0.0166	-0.0458	-0.1836	0.0105	-0.0817	0.0213	-0.0056	-0.1846	0.0153	-0.1265	0.0699	-0.1076	0.1115	0.1892	-0.0679	0.0078	-0.0865	-0.0596	-0.0482	0.0230	0.0313	0.0373	-0.0635	-0.0550	0.1439	-0.0748	0.0166	0.0910	-0.0233	-0.1778	-0.2501	0.0124	-0.0066	-0.2720	0.0527	-0.0189	-0.1576	-0.1609	-0.1754	-0.0734	0.0085	-0.0672	0.0674	0.0782	-0.2248	-0.1302	-0.1327	-0.1480	0.1171	-0.1656	0.0240	-0.0358	-0.1292	-0.1229	0.0062	0.1410	-0.0066	-0.0132	-0.2389	0.0407	0.1424	0.1726	-0.1003	-0.1781	-0.1023	0.0195	0.0768	0.0057	-0.0456	-0.0367	-0.0167	0.0300	-0.0327	0.0871	0.0115	-0.0432	-0.0021	0.0395	0.0215	0.0539	-0.0285	0.0075	0.0318	-0.0187	-0.0133	-0.0063	0.0136	0.0097	0.0002
2072n1	2072n1	Neutrophils	H. sapiens	1	#D95F02	2072n1	-0.1173	0.1084	-0.1173	0.1084	-0.0997	-0.0184	0.0795	0.0309	-0.0244	0.1676	-0.1153	0.0529	-0.0782	-0.0428	0.1458	0.0737	0.0706	0.1669	-0.0018	0.0107	-0.0604	0.0387	-0.0088	0.0578	0.0345	-0.0554	0.0357	0.0986	0.0892	0.0078	-0.1810	0.0391	-0.2045	0.0523	-0.0834	-0.0674	-0.0077	-0.1749	-0.0123	-0.0547	0.0048	-0.0336	-0.0532	0.0187	0.0596	0.1519	-0.0744	-0.1152	-0.0192	-0.0885	-0.0629	-0.1293	0.0222	-0.0061	0.0540	-0.0600	0.1073	0.2503	0.0966	0.0146	0.0778	0.0197	-0.0013	0.0933	-0.0260	-0.1268	-0.0738	-0.0457	0.0013	-0.0434	-0.2019	0.2626	-0.0024	0.5176	0.0758	0.0805	0.0678	0.0384	0.0668	0.1068	-0.1722	0.0313	-0.0193	0.0722	0.0921	0.0494	-0.0033	-0.0770	-0.0232	0.0121	0.0220	0.0361	0.0033	-0.0039	-0.0033	-0.0139	0.0119	0.0019	0.0042	0.0075
2072e1	2072e1	Eosinophils	H. sapiens	1	#66A61E	2072e1	-0.0785	0.0287	-0.0785	0.0287	0.1841	-0.0422	0.0696	0.0827	-0.0781	0.1572	-0.1652	0.0247	-0.1147	-0.2557	0.0723	-0.1014	0.4526	-0.3039	0.3126	-0.0299	0.0892	-0.2187	-0.1696	-0.0190	-0.1163	0.1579	0.1202	-0.0441	-0.0663	0.0028	0.0656	0.0885	-0.0039	-0.0520	-0.1187	-0.1133	0.0288	0.0631	-0.1155	0.0330	0.1191	-0.1230	0.0505	0.0386	0.0147	0.0744	-0.0135	0.0968	0.1214	0.0538	-0.0242	0.0579	0.0147	0.0798	-0.0312	0.0504	0.0354	-0.0885	-0.0436	0.0565	-0.0167	-0.0495	0.0072	0.0325	-0.0536	-0.0505	-0.0743	0.0033	0.1706	0.0066	0.0049	0.0067	0.0250	-0.0258	0.0229	-0.0230	-0.0121	-0.0278	0.0791	0.0262	0.0707	0.0725	-0.0459	0.0246	0.0460	0.0385	0.0275	-0.0054	-0.0671	0.0822	-0.0320	-0.0469	0.0092	-0.0167	-0.0204	-0.0020	-0.0111	0.0092	0.0065	-0.0124
2072bp1	2072bp1	Biopsy	H. sapiens	1	#E7298A	2072bp1	0.1209	0.0341	0.1209	0.0341	-0.0135	0.0172	0.0013	0.2269	0.2096	0.1166	0.0576	-0.0819	0.0761	-0.0314	0.0047	-0.0272	0.0111	0.0257	0.0222	-0.0512	-0.0724	-0.0437	0.0640	-0.0139	0.0509	0.0245	-0.1330	0.2177	0.0909	-0.2448	0.1015	-0.0069	-0.0533	-0.0227	0.1174	0.0972	0.1192	0.1330	-0.0355	-0.1298	0.0667	-0.0657	0.0002	0.1113	-0.1171	0.1275	-0.0745	0.0133	-0.1530	-0.0309	-0.0112	0.0460	0.1566	-0.2805	0.0357	0.2243	0.1750	-0.2312	0.1746	-0.1485	0.1455	-0.0744	-0.0249	0.0761	-0.1522	0.0235	0.1036	-0.2633	0.0482	0.0392	-0.0091	0.1059	0.1941	-0.0781	0.1045	-0.0080	0.0907	0.0218	0.0630	-0.0309	0.0315	-0.0300	0.0861	0.0012	-0.0190	0.0152	0.0247	-0.0058	-0.0021	-0.0054	0.0196	0.0166	0.0117	-0.0229	0.0063	0.0167	-0.0208	-0.0106	0.0023	0.0142
2071bp1	2071bp1	Biopsy	H. sapiens	1	#E7298A	2071bp1	0.1191	0.0476	0.1191	0.0476	-0.0053	0.0249	0.0221	0.3231	0.0753	0.0695	0.0406	-0.0924	-0.1428	0.1042	-0.0444	-0.1813	-0.1524	0.0175	0.1044	-0.1007	-0.1879	-0.1314	-0.0367	0.0926	0.0108	-0.0459	0.0663	-0.0283	0.0921	0.1055	0.0464	-0.1347	0.0200	-0.0968	0.1066	-0.0894	0.0587	0.0676	0.0380	0.0521	0.1252	-0.0291	-0.2332	0.1767	0.0751	-0.0424	-0.1032	-0.0980	-0.0194	0.1458	0.0900	-0.0327	0.1275	0.0931	-0.0053	-0.0659	0.0370	0.0135	-0.0684	0.1358	-0.1768	0.3256	-0.2916	-0.1301	0.2689	-0.0922	-0.0767	-0.0015	0.0087	-0.0196	0.0765	-0.0191	-0.0527	0.0344	0.0059	0.0478	0.0754	0.0123	0.1220	-0.0412	0.0177	-0.0483	-0.0042	0.0088	0.0170	-0.0476	0.0307	-0.0100	0.0125	-0.0030	0.0015	-0.0094	0.0022	-0.0047	0.0161	0.0420	-0.0290	-0.0068	-0.0044	0.0060
2073m1	2073m1	Monocytes	H. sapiens	1	#7570B3	2073m1	-0.0397	-0.1137	-0.0397	-0.1137	0.0064	0.1566	0.0371	-0.0216	-0.0218	-0.0065	0.0814	0.0057	-0.0026	0.0166	-0.0517	0.0562	0.0165	0.0622	0.1007	-0.0084	0.0354	-0.0406	-0.0549	0.0352	0.0955	-0.0979	-0.0133	-0.0138	-0.0665	-0.0519	0.1019	-0.0342	-0.0328	0.0267	-0.0341	-0.1112	-0.0007	-0.0572	-0.0121	-0.0372	-0.0747	0.0278	-0.0345	0.0191	0.0114	-0.0022	-0.1091	-0.0159	-0.0330	-0.1227	0.1084	0.0565	0.0540	0.1034	0.1338	-0.0154	-0.1872	-0.0247	0.0187	-0.1363	0.0397	0.0209	0.0648	0.1321	0.1369	0.0994	-0.0952	0.0113	0.0896	0.0596	-0.0466	0.0561	0.0990	-0.0393	0.0456	-0.0374	0.0122	0.0956	-0.0072	-0.0404	-0.0357	0.0280	-0.0721	-0.0793	0.0450	-0.1242	0.0499	-0.0158	-0.0805	-0.0930	-0.5025	0.0788	-0.3927	-0.2564	0.2737	-0.0155	-0.0666	-0.0745	0.0407	0.0142
2073n1	2073n1	Neutrophils	H. sapiens	1	#D95F02	2073n1	-0.1186	0.0939	-0.1186	0.0939	-0.1021	-0.0122	-0.0217	-0.0120	-0.0118	-0.0051	0.0987	0.0269	-0.0253	0.0232	-0.0169	0.1039	0.0643	0.1847	0.1219	0.0645	-0.0263	-0.1350	-0.0528	0.0672	0.0354	-0.1786	-0.0306	-0.0607	0.0151	-0.0640	0.0308	0.0043	-0.0222	-0.0013	-0.0857	0.0699	-0.0649	0.0573	0.0527	0.0696	0.0647	0.0140	0.0282	-0.0033	-0.0032	0.0490	0.0072	0.1100	-0.0026	0.0510	-0.0554	-0.1380	0.0163	-0.0327	0.0355	0.0367	-0.1146	0.0249	0.0305	0.0825	0.0000	-0.0121	-0.0510	-0.0235	-0.0853	0.0312	-0.0316	0.0113	-0.0203	0.0129	-0.0681	0.0132	0.0423	0.0178	0.0031	-0.0066	0.0225	-0.0476	-0.0024	0.0207	0.1366	-0.0736	-0.0396	-0.2063	-0.0264	-0.3408	0.0412	0.6317	-0.0331	0.2710	0.0692	0.0922	0.0248	0.1023	0.0019	0.0151	0.0088	-0.0061	-0.0123	0.0018
2073e1	2073e1	Eosinophils	H. sapiens	1	#66A61E	2073e1	-0.0881	0.0187	-0.0881	0.0187	0.2208	-0.0546	-0.0563	-0.0208	-0.0074	0.0029	0.0679	-0.0297	-0.0217	0.0187	-0.0789	0.0637	0.0758	0.0119	0.1419	-0.0054	0.1062	-0.1321	-0.0490	0.0574	-0.0030	-0.0726	-0.0976	-0.0353	-0.0549	0.0227	-0.0044	0.0153	0.0847	0.0054	0.0723	-0.0194	0.0514	0.0366	0.0496	-0.0618	-0.1513	0.0219	-0.0208	-0.0518	0.0906	0.0047	-0.0294	-0.1359	0.0484	-0.1852	0.0367	-0.0306	-0.0110	-0.1122	0.0234	-0.0558	0.1388	0.0417	0.0193	-0.0146	0.0354	0.0780	0.0284	-0.1253	0.0567	0.0740	0.1335	0.0060	-0.1268	0.0244	0.0408	-0.0421	0.0936	0.1435	0.0500	-0.0579	-0.0714	0.0110	-0.0564	-0.0268	-0.0109	-0.0881	-0.0223	-0.0795	0.0622	-0.0383	-0.0037	0.1850	0.1308	-0.3578	0.0427	-0.3938	0.2052	-0.3714	-0.1410	-0.0447	0.0297	0.0331	-0.0205	0.0023
2073bp1	2073bp1	Biopsy	H. sapiens	1	#E7298A	2073bp1	0.1094	0.0238	0.1094	0.0238	-0.0177	0.0305	-0.0998	0.2205	0.0579	0.0060	0.0217	-0.1956	0.0118	0.0040	0.0435	0.0259	0.0766	0.0227	0.0248	0.0427	-0.0068	-0.0247	0.0381	0.0504	0.0085	-0.0007	-0.0444	0.0255	0.0400	-0.0895	0.1066	-0.0289	-0.0265	-0.1198	0.1804	0.0019	-0.1217	0.0420	-0.0287	-0.1399	-0.0003	0.0760	-0.0384	-0.0269	-0.1088	0.1361	0.0809	-0.0072	0.0528	-0.1180	-0.0761	0.0519	0.2051	-0.0478	-0.1267	-0.1564	-0.0918	-0.0231	0.0485	-0.0935	0.0097	-0.0780	0.0361	0.2081	-0.0274	-0.0230	0.0203	0.5280	0.0517	-0.0512	-0.0553	-0.0652	-0.2490	0.0852	-0.2627	-0.0478	-0.1242	-0.1889	-0.0815	-0.0082	-0.1083	0.0667	-0.0149	-0.0433	0.0514	0.0422	0.0352	0.0328	-0.0616	-0.0339	0.0133	-0.0086	0.0330	0.0262	0.0089	0.0031	-0.0253	-0.0020	0.0028	0.0083
2068m2	2068m2	Monocytes	H. sapiens	1	#7570B3	2068m2	-0.0402	-0.1124	-0.0402	-0.1124	0.0024	0.1642	-0.0388	-0.0606	0.0714	-0.0303	-0.0957	-0.1316	0.0961	0.1316	-0.0303	-0.0448	-0.0969	-0.0520	0.1917	-0.1407	0.1537	0.0360	0.0634	-0.0252	-0.0527	-0.0729	0.0615	0.0756	0.0837	-0.0739	-0.0462	0.0030	-0.0109	0.1663	0.0485	0.0340	-0.0205	-0.1242	0.0116	0.0240	0.0802	-0.1975	0.0924	-0.0823	0.0648	0.0782	-0.0809	0.0822	0.2063	0.1344	0.0307	0.0935	-0.0727	-0.0896	-0.3409	-0.0667	-0.0181	0.0623	-0.0996	-0.0460	-0.0355	-0.0672	-0.1703	0.0277	-0.0403	-0.1529	0.0433	-0.0821	-0.2864	-0.1639	0.1028	0.2812	0.0672	-0.0038	-0.2023	-0.0817	0.0586	-0.0081	-0.0483	-0.0033	0.0869	0.1548	-0.0608	-0.0564	-0.0717	-0.0695	0.0181	0.0118	-0.0783	-0.0936	-0.0403	0.0540	-0.0048	-0.0598	0.0183	0.0073	0.0063	-0.0143	-0.0110	0.0055
2068n2	2068n2	Neutrophils	H. sapiens	1	#D95F02	2068n2	-0.1200	0.1106	-0.1200	0.1106	-0.1124	-0.0118	-0.0713	-0.0666	0.0713	0.0437	-0.0991	-0.1184	0.0404	0.1093	-0.0335	-0.0451	-0.1117	-0.0508	0.1461	-0.2263	0.1546	0.2823	0.0591	-0.0838	0.1138	0.2102	-0.1366	-0.2383	-0.2640	0.0456	0.0072	-0.0245	-0.1027	-0.1637	-0.0096	0.0156	0.0175	0.4515	-0.2585	0.0554	-0.0950	-0.0780	0.0163	0.0391	-0.0273	0.0631	-0.0771	-0.1088	-0.0327	0.0573	-0.0876	-0.2152	-0.0320	0.1231	0.0120	-0.0058	-0.0982	0.1169	0.0840	-0.1001	0.0674	-0.0268	-0.0605	0.0048	0.0287	0.0113	0.0499	-0.0372	0.0233	-0.0119	-0.0020	0.0394	-0.0335	0.0393	0.0173	0.0012	0.0035	-0.0188	-0.0015	0.0097	-0.0167	-0.0094	0.0103	0.0053	-0.0123	-0.0083	0.0000	0.0139	0.0041	0.0016	-0.0057	-0.0011	-0.0013	0.0064	-0.0019	0.0033	0.0041	-0.0026	0.0014	-0.0007
2068e2	2068e2	Eosinophils	H. sapiens	1	#66A61E	2068e2	-0.0893	0.0213	-0.0893	0.0213	0.2278	-0.0492	-0.1071	-0.0524	0.0552	-0.0004	-0.0635	-0.1733	0.0681	0.0913	-0.1094	-0.0296	-0.1711	-0.0524	0.0880	-0.1492	0.1599	0.0898	0.0979	0.0221	-0.0494	0.0022	-0.0294	-0.0277	0.1236	0.0284	-0.1034	-0.0197	0.0265	0.1997	0.0751	0.1454	-0.0436	-0.1594	0.0943	0.0108	0.1161	0.0971	0.0788	-0.0145	-0.2448	-0.0167	-0.0576	-0.1565	-0.1563	0.0778	-0.1115	-0.0143	-0.0134	0.1787	0.0209	-0.0071	0.1328	-0.1517	-0.0923	0.2340	-0.0951	0.0031	0.1183	0.1228	-0.1060	0.0081	-0.1731	0.0760	0.3852	0.0441	-0.0988	0.0191	0.0670	0.0686	0.0743	0.0023	0.0008	0.0448	0.0099	-0.0353	0.0410	-0.0475	0.0152	0.0030	-0.0578	-0.0933	-0.0263	0.0383	-0.1073	-0.0760	0.0242	-0.0952	-0.0029	0.0340	0.0443	0.0152	-0.0041	0.0023	0.0027	0.0038
2072m2	2072m2	Monocytes	H. sapiens	1	#7570B3	2072m2	-0.0442	-0.1012	-0.0442	-0.1012	-0.0003	0.1543	0.0763	0.0162	0.0575	-0.0487	-0.1042	-0.0034	0.0203	0.0363	0.1181	-0.0595	0.0524	-0.0209	0.0469	-0.0703	-0.0459	0.0625	-0.0245	0.0508	0.0496	-0.0755	0.0154	0.0685	0.0171	-0.0111	0.0017	0.0425	0.0392	0.0792	0.0415	-0.0098	-0.0257	0.0275	-0.0216	-0.0301	-0.0564	-0.1911	0.0175	-0.0247	-0.2034	-0.0050	-0.0194	-0.0607	-0.0138	0.0088	-0.0181	0.0613	-0.0884	-0.0656	-0.0788	0.0310	0.0037	-0.0269	-0.0241	0.0689	0.0403	-0.0013	-0.0150	0.0138	0.0512	0.0869	-0.0569	-0.0769	-0.2012	0.2840	-0.1208	-0.2992	-0.2669	0.0844	0.1574	0.0408	-0.0467	-0.0668	0.0046	0.1567	0.0760	-0.0775	0.0101	-0.3712	0.1632	-0.1910	-0.2921	-0.2295	-0.0236	0.0882	0.0450	-0.0130	-0.0266	-0.0042	-0.0447	-0.0261	-0.0268	0.0161	0.0225	-0.0124
2072n2	2072n2	Neutrophils	H. sapiens	1	#D95F02	2072n2	-0.1231	0.1227	-0.1231	0.1227	-0.1243	-0.0334	0.0736	0.0295	0.0382	0.0439	-0.1341	0.0127	-0.0031	0.0156	0.0855	-0.0085	0.0348	0.0007	0.0129	-0.0731	-0.0811	0.1820	-0.1305	0.0661	0.1444	0.0078	-0.0056	0.1131	-0.0443	0.0790	-0.1027	0.1135	-0.1301	0.0806	0.0639	-0.0593	0.0800	-0.2117	-0.0760	-0.0621	0.0760	0.1196	-0.0274	-0.0291	0.1384	0.1670	-0.0500	-0.1859	-0.0511	0.0647	-0.0813	0.0322	-0.0470	-0.0276	0.0120	-0.0234	0.0782	0.0886	0.0667	-0.1128	0.0236	0.1360	0.0573	-0.0908	-0.0710	0.0688	-0.1973	0.2119	-0.1234	0.1798	0.0906	-0.1337	0.2885	-0.3381	-0.1816	-0.0308	-0.1418	-0.0791	0.0887	0.0546	0.1977	-0.0928	0.0019	-0.0014	-0.0834	0.0656	0.0312	0.0150	0.0110	0.0028	-0.0035	-0.0255	-0.0048	0.0073	0.0048	0.0035	-0.0058	-0.0083	-0.0039	0.0026
2072e2	2072e2	Eosinophils	H. sapiens	1	#66A61E	2072e2	-0.0946	0.0463	-0.0946	0.0463	0.2160	-0.0736	0.0569	0.0722	0.0188	-0.0215	-0.0894	0.0287	-0.0157	-0.0663	0.0862	-0.0426	0.0637	-0.0445	0.0049	-0.0403	-0.0509	0.0907	-0.0769	0.1278	0.0782	-0.0022	0.0054	0.0716	0.0599	-0.0108	-0.1077	0.0115	-0.0304	0.1167	0.0237	0.0336	-0.0066	0.0867	-0.1130	0.0606	0.0108	0.1184	0.0116	-0.0270	-0.1175	-0.1296	0.0379	0.1660	0.0235	0.0302	0.0456	0.0776	0.0223	0.0735	0.0995	0.0095	0.0326	0.1293	0.0151	-0.0466	0.0105	0.0224	-0.0784	-0.0387	-0.0821	0.0451	0.0287	0.0998	-0.1635	0.0647	-0.1039	0.1086	-0.1017	-0.1826	-0.0434	0.4116	0.3293	0.0174	-0.3068	-0.2940	-0.1827	-0.0475	0.1275	0.0194	-0.0420	-0.0837	-0.0044	0.0432	0.0686	-0.0999	0.0106	0.0229	-0.0427	-0.0094	0.0253	-0.0051	0.0050	0.0053	0.0155	0.0065
2073m2	2073m2	Monocytes	H. sapiens	1	#7570B3	2073m2	-0.0408	-0.1120	-0.0408	-0.1120	-0.0001	0.1560	-0.0230	-0.0295	0.0157	-0.1147	0.1045	0.0085	0.0513	0.0839	0.0229	0.0287	0.0236	0.0847	0.1851	-0.0324	0.0355	-0.0267	-0.0253	0.0313	0.0552	-0.0498	-0.0374	0.0318	-0.0356	-0.0629	0.0152	-0.0579	-0.0255	0.0393	-0.0127	-0.2333	0.0155	-0.0531	-0.0688	-0.0213	-0.0297	0.0712	0.0024	-0.0023	-0.0509	-0.0680	-0.0801	-0.0016	0.0219	-0.0573	0.0673	0.0471	0.0303	0.0411	-0.0475	-0.0039	-0.1125	-0.0783	-0.0271	-0.0816	-0.0548	-0.0058	0.0410	0.1325	0.1074	0.0703	-0.0375	0.0402	0.0194	-0.0159	-0.0335	0.1003	0.0952	0.0219	-0.0307	0.0066	0.0350	0.0877	0.0542	-0.0343	-0.0397	0.0555	0.1703	0.1772	-0.1937	0.0268	-0.1696	-0.0858	0.3754	0.4272	0.1270	-0.3617	-0.0016	0.1287	-0.0893	-0.0642	0.0610	0.0628	-0.0403	-0.0098
2073n2	2073n2	Neutrophils	H. sapiens	1	#D95F02	2073n2	-0.1222	0.1046	-0.1222	0.1046	-0.1304	-0.0275	-0.0467	-0.0188	0.0141	-0.0891	0.1330	-0.0066	0.0419	0.0026	-0.0749	-0.0322	0.0536	0.0454	0.1420	-0.0076	-0.0732	-0.0164	-0.0894	0.0778	0.1465	-0.1660	-0.1019	-0.0769	-0.0853	-0.0261	0.1109	-0.0115	0.0728	-0.0045	0.0280	0.0740	-0.0378	-0.0210	0.0204	0.0894	-0.0150	0.0762	0.0930	-0.0832	0.0000	-0.0047	0.1070	0.1808	0.0399	0.1774	-0.1041	-0.1574	0.0109	-0.0737	-0.1239	0.1851	-0.1386	-0.2577	-0.0366	0.1004	-0.1107	0.0956	0.1689	-0.0917	-0.0543	0.0531	-0.0397	0.1195	-0.1137	-0.0856	0.0613	0.0311	0.1312	0.0835	0.0404	0.2910	0.1228	-0.0041	0.1492	0.2824	-0.1591	-0.0156	-0.0121	0.0506	0.1234	0.1471	0.0408	-0.2092	-0.0839	-0.1381	-0.0195	-0.0133	0.0127	-0.0089	0.0134	0.0063	-0.0095	-0.0027	0.0036	-0.0059
2073e2	2073e2	Eosinophils	H. sapiens	1	#66A61E	2073e2	-0.0899	0.0228	-0.0899	0.0228	0.2194	-0.0636	-0.0564	-0.0082	0.0294	-0.1046	0.0605	-0.0330	0.0049	0.0237	-0.0956	0.0528	0.0655	-0.0115	0.1238	-0.0302	0.0740	-0.0991	-0.0639	0.1025	0.0581	-0.0536	-0.0976	-0.0330	-0.0312	0.0268	-0.1258	0.0435	0.0824	0.0046	0.1508	0.0324	0.0663	0.1114	0.1040	-0.0433	-0.1169	-0.0008	-0.0114	-0.0471	0.0839	-0.0123	-0.0095	-0.0831	0.0874	-0.1454	0.0493	-0.0177	-0.0125	-0.0440	-0.0296	-0.0793	0.2169	-0.0001	-0.0111	0.0261	-0.0400	0.0268	0.0512	-0.0664	-0.0161	0.0314	0.0599	0.0379	0.0363	-0.0211	0.0199	0.0144	0.0381	0.0329	-0.0098	-0.0353	-0.0987	0.0002	0.0230	0.0396	-0.0058	-0.0303	0.0298	0.0672	-0.0485	-0.0007	-0.0862	-0.1256	0.2926	0.1350	-0.0094	0.6716	-0.0435	0.0564	-0.0308	0.0342	-0.0488	-0.0286	0.0000	-0.0045
2068m3	2068m3	Monocytes	H. sapiens	1	#7570B3	2068m3	-0.0452	-0.0966	-0.0452	-0.0966	-0.0053	0.1570	0.0918	0.0205	-0.0292	0.0728	-0.0856	0.0035	0.0206	0.0046	0.0898	-0.0704	-0.0181	-0.0057	-0.0729	-0.0670	0.0113	0.0750	-0.0061	-0.0305	-0.0186	-0.0587	0.0213	0.0506	-0.0107	-0.0198	0.1327	-0.0506	0.1434	-0.0391	-0.0946	0.0746	-0.0822	0.1185	0.3738	-0.0017	0.0057	-0.0924	0.0065	-0.0104	0.1663	-0.1212	0.1766	0.0669	0.0214	0.0477	-0.0938	-0.1132	-0.0532	-0.0283	-0.1408	0.0291	0.1804	0.1859	0.0469	-0.2381	-0.0059	-0.1702	-0.0934	0.0770	0.1903	0.0073	-0.0748	0.1604	0.2354	-0.0125	0.1285	-0.0595	0.3245	0.0470	0.1219	0.1878	-0.0799	-0.0573	-0.0853	-0.1290	-0.0408	-0.0854	0.0248	-0.0332	0.1014	-0.0123	-0.0735	-0.0170	-0.0161	0.0560	0.0564	-0.0337	-0.0059	0.0173	0.0411	-0.0190	0.0016	0.0036	0.0161	-0.0037
2068n3	2068n3	Neutrophils	H. sapiens	1	#D95F02	2068n3	-0.1244	0.1148	-0.1244	0.1148	-0.1148	-0.0231	-0.0152	-0.0267	-0.0146	0.1161	-0.0520	-0.0110	0.0211	0.0715	0.1405	-0.0670	0.0278	0.0374	0.0590	-0.0924	-0.0344	0.2284	0.1227	-0.0819	0.0808	0.1020	-0.0398	-0.0558	-0.1220	0.1379	0.0990	-0.0262	0.0579	-0.1211	-0.0602	-0.0920	0.0137	-0.0795	0.1823	-0.0530	-0.0068	0.1389	-0.0744	0.0727	0.1771	-0.1847	0.1443	0.1619	0.0555	-0.1459	0.1445	0.1870	0.0665	-0.0376	0.0433	0.0497	0.0961	-0.3056	-0.1032	0.0006	-0.1879	-0.0413	-0.0859	-0.0650	-0.1817	-0.0120	0.0209	-0.0097	-0.0936	0.0328	-0.3072	0.0280	-0.0138	0.1881	-0.0739	-0.1452	0.0180	-0.0145	-0.0644	-0.1206	0.2026	-0.0892	0.0152	0.0178	-0.0128	-0.0500	0.0072	-0.0360	-0.0425	-0.0179	-0.0142	0.0145	-0.0233	-0.0036	0.0104	-0.0161	-0.0165	-0.0002	-0.0042	0.0080
2068e3	2068e3	Eosinophils	H. sapiens	1	#66A61E	2068e3	-0.0969	0.0352	-0.0969	0.0352	0.2263	-0.0759	0.0383	0.0272	-0.0180	0.0562	-0.0699	-0.0089	0.0146	-0.0050	0.0636	-0.0135	-0.0223	0.0469	-0.0692	-0.0421	0.0487	0.0780	0.0843	-0.0358	-0.0237	-0.0199	-0.0142	0.0014	-0.0357	0.0355	0.1644	-0.0890	0.0956	-0.0241	-0.1342	0.0232	-0.0422	-0.1578	0.1438	0.0070	0.1519	0.1806	-0.0107	0.0929	-0.0091	-0.0804	0.0485	-0.0081	-0.1640	0.0875	-0.0484	-0.0839	0.0361	0.1450	-0.0329	-0.0049	0.0091	0.0341	0.1291	-0.1140	0.0305	-0.1063	-0.1773	0.0567	-0.0675	-0.0758	0.1141	-0.0745	-0.0624	-0.0231	-0.0757	0.0738	-0.2071	-0.2807	-0.0723	-0.0162	-0.0563	0.0388	0.2440	0.3497	-0.1640	0.1256	-0.0093	-0.0668	0.1007	0.0238	-0.0396	0.0697	0.2551	0.0421	-0.0678	0.0294	0.0218	-0.2123	-0.0836	-0.0265	0.0032	-0.0099	0.0006	0.0077
2072m3	2072m3	Monocytes	H. sapiens	1	#7570B3	2072m3	-0.0486	-0.0982	-0.0486	-0.0982	-0.0125	0.1501	0.0753	0.0288	0.0037	-0.0515	-0.0575	0.0266	0.0584	-0.0256	0.1619	-0.0867	0.0508	0.0126	-0.0061	-0.0497	-0.0776	0.0831	-0.0258	0.0601	0.0399	-0.0759	0.0046	0.1177	0.0361	-0.0090	-0.0031	-0.0320	0.0467	0.0216	-0.0378	-0.0603	-0.0482	0.0928	0.0695	0.0016	-0.0816	-0.0808	0.0327	-0.0041	-0.1279	-0.0573	0.0222	-0.0735	-0.0170	0.0223	-0.1170	-0.0673	-0.0919	-0.0441	-0.0526	-0.0242	0.0416	-0.1006	-0.1018	0.0575	-0.0291	-0.0403	-0.0056	0.0236	0.1110	0.0681	0.0431	-0.0780	-0.0840	0.1973	-0.0798	-0.1454	-0.1507	0.0666	0.1328	0.0591	-0.1463	-0.0645	0.0492	0.0285	0.0216	0.2322	-0.0573	0.3857	-0.3091	0.1663	0.2975	0.2912	0.0518	-0.1726	-0.1171	0.0563	0.0106	0.0551	0.0121	0.0275	0.0026	-0.0346	-0.0165	0.0149
2072n3	2072n3	Neutrophils	H. sapiens	1	#D95F02	2072n3	-0.1259	0.1256	-0.1259	0.1256	-0.1354	-0.0355	0.0299	0.0336	0.0171	-0.0398	-0.0255	0.0010	0.0493	-0.0746	0.0655	-0.1104	0.0530	-0.0999	-0.0329	-0.0784	-0.1308	0.1250	-0.0637	0.0469	0.1095	-0.0989	-0.0041	0.1498	0.0194	0.0358	-0.0788	0.0892	-0.0685	0.1009	0.0399	-0.0107	0.0097	-0.1338	0.0287	-0.0040	0.0051	0.1516	0.0750	-0.0177	0.1806	0.0311	-0.0731	-0.1218	0.1735	-0.1447	0.0819	-0.2995	0.0347	0.0609	-0.1457	0.1257	-0.0773	-0.2017	0.0571	0.0278	0.0154	-0.0804	0.0579	0.0238	0.1294	-0.0901	0.1781	-0.1132	0.2109	-0.1972	0.2329	-0.1251	-0.2629	-0.0976	0.1073	-0.1517	0.0660	0.0835	-0.1457	-0.1705	-0.0647	0.0600	-0.0117	-0.0806	0.0214	-0.0711	-0.0456	0.0186	0.0050	0.0045	0.0155	-0.0183	0.0208	0.0004	0.0205	0.0118	0.0116	0.0095	-0.0031	-0.0072
2072e3	2072e3	Eosinophils	H. sapiens	1	#66A61E	2072e3	-0.0922	0.0372	-0.0922	0.0372	0.2206	-0.0723	0.0440	0.0661	0.0126	-0.0540	-0.0556	0.0066	0.0074	-0.0620	0.0757	-0.0438	-0.0334	-0.0118	-0.0958	-0.0331	-0.0730	0.1477	-0.0426	0.1103	0.1157	-0.0577	-0.0451	0.1942	0.1223	-0.0107	-0.1226	-0.0332	-0.0622	0.1158	0.1150	0.0464	-0.0365	0.2285	-0.1162	0.0965	-0.0680	0.1591	0.0095	0.0400	-0.1282	-0.2279	0.0551	0.3402	0.0713	0.0801	0.1542	0.1270	0.0252	-0.0138	0.1448	0.0390	-0.1393	0.1676	-0.0328	-0.0283	0.0204	-0.0124	0.0588	0.0184	0.1131	-0.0397	-0.0084	-0.0266	0.0460	-0.1508	0.0943	0.0179	0.1155	0.1499	-0.0100	-0.2888	-0.2164	-0.0060	0.1678	0.1302	0.0970	-0.0392	-0.1006	-0.0794	0.0254	0.0742	0.0447	-0.0074	-0.0597	0.0149	0.0257	-0.0551	0.0205	0.0215	0.0124	0.0058	0.0156	-0.0163	-0.0204	0.0039
2159bp1	2159bp1	Biopsy	H. sapiens	1	#E7298A	2159bp1	0.1358	0.0437	0.1358	0.0437	0.0115	0.0381	-0.2048	-0.0064	0.0425	0.0333	-0.1323	0.1318	0.0710	-0.0520	-0.0216	-0.0127	-0.0107	0.0001	0.0115	0.0159	-0.0466	-0.0827	0.0274	-0.0559	0.0962	-0.0226	-0.0450	0.0582	0.2033	0.1665	0.1134	-0.0062	-0.0818	0.1102	-0.2285	0.0667	0.4014	0.1083	0.0309	0.1202	-0.2199	0.0489	0.0198	0.1847	0.1426	-0.0022	-0.0687	-0.0237	-0.1572	0.1067	0.0236	0.0031	0.2124	0.0101	-0.2150	-0.2381	-0.0443	0.0090	-0.1817	0.0845	0.1404	-0.2276	0.1655	-0.0903	0.0132	0.0942	-0.0774	0.0914	-0.0485	-0.0432	-0.0856	0.0212	-0.0152	-0.0456	0.0559	-0.0147	0.0338	0.0243	-0.0935	0.0627	0.0239	-0.0253	0.0064	-0.0060	0.0187	0.0418	-0.0348	0.0091	-0.0092	0.0121	0.0009	-0.0019	0.0009	-0.0056	-0.0007	-0.0116	0.0047	0.0021	-0.0003	-0.0077
2073m3	2073m3	Monocytes	H. sapiens	1	#7570B3	2073m3	-0.0443	-0.1155	-0.0443	-0.1155	0.0127	0.1539	0.0288	-0.0496	0.0395	-0.0634	0.0299	0.0191	0.0061	0.0956	-0.0062	0.0896	0.0769	0.0895	0.0817	-0.0016	0.0013	-0.0543	-0.0343	0.0520	0.0945	-0.1063	0.0059	-0.0112	-0.1259	0.0263	0.0878	0.0258	0.0708	-0.0478	-0.0442	-0.0798	0.0588	-0.0952	0.0066	-0.0378	-0.0397	-0.0226	-0.0231	0.0558	-0.0129	-0.0437	-0.0274	-0.0241	-0.0848	-0.0751	0.1404	0.1012	0.0451	0.2516	0.1027	0.0352	-0.1322	0.0326	0.1123	-0.0940	0.0794	-0.0907	-0.0332	0.2149	0.1044	-0.0193	-0.1438	-0.0549	0.0716	0.0184	0.0099	0.0138	0.0042	-0.0875	-0.0188	-0.0212	0.2092	0.0626	0.0191	0.0113	0.0960	-0.0348	-0.0839	-0.0643	-0.0501	0.0992	0.0788	-0.0436	-0.1927	-0.2922	0.2547	0.2189	0.3526	0.1664	-0.2443	0.0525	0.0084	0.0211	-0.0100	-0.0213
2073n3	2073n3	Neutrophils	H. sapiens	1	#D95F02	2073n3	-0.1208	0.0916	-0.1208	0.0916	-0.1054	-0.0326	-0.0180	-0.0364	0.0307	0.0085	0.0144	0.0036	-0.0229	0.1122	-0.0435	0.1717	0.0453	0.1892	0.1037	0.0454	0.0015	-0.1074	-0.1485	0.1246	0.1135	-0.1378	-0.0130	-0.0500	-0.0752	-0.0040	-0.0070	0.0713	0.0504	-0.0674	-0.0764	0.0904	-0.0066	0.0651	0.0942	0.0536	0.1894	0.0044	0.0111	0.0382	-0.0387	0.0960	0.1166	0.1116	-0.1524	0.2476	-0.1998	0.1446	-0.0196	-0.1304	0.0578	-0.0865	-0.0680	0.0687	-0.0179	0.0557	0.0867	-0.0172	-0.0625	-0.0305	-0.0576	-0.2012	-0.1280	-0.1485	0.0792	-0.0084	0.0261	-0.0500	-0.1702	-0.0529	0.0484	-0.2174	-0.2013	0.0281	-0.1851	-0.3088	-0.0380	0.0685	0.0535	0.0856	-0.0245	0.0841	-0.0698	-0.2184	0.1127	-0.0846	-0.0333	-0.0547	-0.0276	-0.0760	-0.0207	0.0028	-0.0138	0.0016	0.0072	0.0044
2073e3	2073e3	Eosinophils	H. sapiens	1	#66A61E	2073e3	-0.0964	0.0222	-0.0964	0.0222	0.2203	-0.0774	-0.0295	-0.0184	0.0082	-0.0414	0.0541	-0.0124	0.0161	0.0867	-0.0244	0.1130	0.0186	0.1100	0.0167	0.0525	0.0082	-0.0702	-0.0441	0.0796	0.0907	-0.0968	-0.1126	-0.0024	-0.1132	0.0442	0.0140	0.0162	0.1375	-0.0497	0.0520	-0.0171	0.0671	0.0222	0.0387	-0.0190	-0.0869	0.0073	-0.0040	0.0096	0.0600	-0.0359	0.0089	-0.1094	0.0230	-0.1424	0.0628	0.0145	-0.0329	-0.0442	-0.0580	-0.1373	0.2108	0.1474	0.0636	-0.0232	0.0013	-0.0409	-0.0992	-0.0890	-0.1292	-0.0378	0.1103	-0.1192	0.0159	-0.0324	0.0464	-0.0239	-0.1460	-0.1214	-0.0054	0.0783	0.0542	-0.0515	0.0786	0.0889	0.0504	0.1109	0.0072	0.0559	-0.0036	0.0553	0.0937	-0.0963	-0.4638	0.1932	-0.0316	-0.2687	-0.1549	0.2959	0.1961	0.0274	0.0417	-0.0104	0.0109	-0.0014
2162m1	2162m1	Monocytes	H. sapiens	1	#7570B3	2162m1	-0.0322	-0.1153	-0.0322	-0.1153	0.0008	0.1611	0.0196	-0.0296	-0.0423	0.1468	-0.0334	-0.1007	0.0792	0.0186	-0.0843	-0.0712	-0.1515	-0.0260	-0.0223	-0.0217	0.0618	-0.0821	-0.1026	-0.1275	-0.0359	-0.1640	0.1379	0.1130	0.0017	-0.0583	0.0024	0.1059	-0.0914	-0.1025	0.1635	0.0867	0.0316	-0.0159	-0.0938	0.1304	-0.1495	-0.0200	0.0717	-0.0523	0.3246	0.0960	0.1969	0.0720	-0.0373	0.1280	-0.0531	0.0296	0.0877	0.2623	0.4209	-0.0193	0.1877	-0.1421	0.0853	0.1778	0.0711	-0.0849	-0.0173	0.1265	-0.0376	0.0315	0.1132	0.0378	-0.1594	-0.0451	0.0831	-0.0557	-0.0618	0.0544	-0.0089	0.0418	-0.0374	-0.0815	0.0111	0.0289	-0.0064	0.0232	0.0243	0.0170	-0.0710	-0.0076	-0.0529	-0.0108	0.0220	0.0690	0.0045	-0.0511	-0.0338	-0.0043	0.0107	-0.0110	0.0135	-0.0064	0.0073	0.0058
2162n1	2162n1	Neutrophils	H. sapiens	1	#D95F02	2162n1	-0.1104	0.0890	-0.1104	0.0890	-0.0826	0.0125	-0.0414	-0.0252	-0.0060	0.1676	-0.0881	-0.0526	-0.0487	0.1185	0.0833	0.0591	-0.0368	0.1602	-0.0638	0.0385	0.0264	-0.1938	-0.0105	-0.2630	-0.2102	-0.1015	0.1976	0.0350	-0.0172	-0.0393	-0.2879	0.3337	-0.0633	-0.2507	0.0715	-0.0253	0.0622	0.0960	0.0883	0.0177	-0.0087	0.1161	0.0366	0.0611	-0.2944	-0.1955	-0.0740	0.0344	-0.0253	0.0070	0.0438	0.0344	-0.0005	0.1700	-0.2358	-0.0207	0.0381	-0.1353	0.0310	-0.2197	-0.0080	0.0879	0.1295	-0.1145	0.0631	0.0618	0.0353	0.0130	-0.0515	-0.0021	0.0648	0.0130	0.0183	-0.0318	0.0208	0.0059	0.0029	0.0230	-0.0035	0.0243	-0.0185	-0.0031	0.0018	0.0259	0.0338	-0.0207	0.0090	0.0030	-0.0347	-0.0142	-0.0230	0.0052	-0.0227	-0.0130	-0.0073	0.0041	-0.0023	-0.0056	-0.0019	-0.0048
2162e1	2162e1	Eosinophils	H. sapiens	1	#66A61E	2162e1	-0.0870	0.0341	-0.0870	0.0341	0.2176	-0.0571	0.0316	0.0498	-0.0420	0.1128	-0.0487	0.0306	-0.0137	0.0067	0.0590	-0.0454	-0.1413	0.0892	-0.1175	0.0765	-0.0337	-0.0781	0.0137	-0.2133	-0.1058	-0.1492	0.0294	0.1127	-0.1227	-0.0184	0.2084	0.0166	-0.0355	-0.1571	0.1694	-0.0802	0.0335	-0.0947	-0.3112	0.1214	-0.2247	0.0199	0.0146	-0.0924	0.0811	-0.0917	0.0638	-0.1923	0.0405	0.1024	-0.0151	-0.0584	-0.1832	-0.3398	-0.1162	0.0662	-0.1920	0.0514	-0.1076	0.0690	-0.1232	-0.0516	-0.0748	0.0888	-0.0767	-0.0668	-0.1461	-0.0153	0.1872	0.0360	-0.1432	0.0202	0.0132	-0.0425	-0.0057	0.0100	0.0479	0.0502	-0.0193	-0.0896	-0.0074	-0.0717	-0.0441	-0.0541	-0.0384	0.0358	0.0200	-0.0055	0.0540	0.0025	0.0055	0.0690	0.0348	-0.0375	-0.0053	0.0185	-0.0160	-0.0037	0.0036	0.0014
2162bp1	2162bp1	Biopsy	H. sapiens	1	#E7298A	2162bp1	0.1411	0.0838	0.1411	0.0838	0.0118	0.0265	-0.0495	-0.0405	0.0538	0.0887	-0.1165	0.2525	0.4024	-0.1482	0.1199	-0.2043	-0.2487	0.0508	0.1809	0.3789	0.0256	0.0146	-0.1236	0.0897	-0.0888	-0.0231	0.1504	-0.1739	-0.3284	-0.1190	-0.1505	-0.1711	0.0529	0.1273	0.1121	0.0400	0.0960	-0.0153	0.0115	-0.0986	0.1195	0.0021	0.0501	0.1146	-0.0450	0.0076	-0.0071	0.0116	-0.0110	-0.0221	0.1197	-0.0530	-0.0196	-0.0474	0.0444	0.0063	0.0413	-0.0057	-0.0066	-0.0363	0.0335	0.0009	-0.0193	-0.0041	0.0262	-0.0579	-0.0076	0.0870	0.0063	-0.0298	-0.0159	-0.0297	-0.0225	0.0286	0.0158	-0.0045	-0.0225	0.0122	-0.0075	0.0163	0.0120	0.0034	-0.0013	-0.0145	0.0203	0.0081	0.0158	0.0118	0.0035	-0.0131	-0.0099	0.0054	0.0038	0.0092	-0.0075	0.0039	0.0003	0.0041	-0.0012	-0.0028
macrofagos	Macrofagos	Macrophages	H. sapiens	1	#E6AB02	Macrofagos	0.0183	-0.1984	0.0183	-0.1984	-0.0531	-0.1619	-0.0741	-0.0685	0.0526	0.0528	-0.0444	-0.0683	-0.0313	0.0582	0.0258	0.2224	-0.1019	-0.2208	0.0870	0.0057	-0.1190	-0.0162	0.0238	0.0359	-0.0403	-0.0830	-0.0074	0.0067	0.0426	0.0380	-0.0477	0.0176	0.0036	-0.0100	0.0032	-0.0078	0.0981	-0.0455	-0.0728	0.0894	0.0683	-0.0577	-0.0542	0.0637	-0.0830	0.0085	0.1487	0.0442	-0.0018	-0.1137	-0.0090	-0.1360	-0.0338	-0.0143	0.0526	0.0469	0.0051	-0.0372	-0.0279	0.0055	0.0922	-0.0677	0.0181	-0.0888	0.1889	-0.2405	0.1068	-0.0574	0.0293	-0.0092	-0.2526	-0.2198	0.2056	-0.0215	-0.2463	0.0706	-0.0237	0.0522	-0.0944	0.0560	-0.0667	0.0441	0.0336	-0.0411	0.0493	-0.0994	0.1363	-0.0832	0.0588	0.0550	-0.2592	-0.0287	0.2519	0.1476	0.0138	-0.1487	0.0360	-0.1394	-0.0187	0.1390
macrofagos+sbv	Macrofagos+SbV	Macrophages	H. sapiens	1	#E6AB02	Mcrfgs+SbV	0.0139	-0.1935	0.0139	-0.1935	-0.0562	-0.1868	-0.0317	-0.0801	0.0632	0.0776	-0.0877	0.0056	-0.0323	0.2241	-0.1124	-0.0769	0.0886	-0.0724	-0.0202	0.1089	-0.0005	0.0660	-0.0026	0.0333	-0.0319	-0.0123	-0.0109	0.0442	0.0302	-0.0371	0.0096	0.0301	0.0058	0.0429	-0.0107	-0.0235	0.0655	-0.0424	-0.0626	0.0332	0.1007	-0.0569	-0.0887	-0.0025	-0.0312	-0.0417	0.1336	0.0440	-0.0523	-0.0933	0.0564	-0.1270	-0.0111	-0.0390	0.0201	-0.0377	-0.0289	-0.0072	-0.0004	-0.0282	-0.0189	0.0031	-0.0158	-0.0142	-0.0241	0.0803	-0.0018	0.0082	-0.0211	-0.0015	0.0445	0.0533	-0.0265	0.0392	0.0060	0.0081	-0.0051	-0.0220	0.0523	-0.0657	-0.0226	-0.0377	-0.0152	0.0253	0.0109	0.1899	-0.2845	0.1439	-0.0168	0.0002	-0.1769	-0.0408	0.0479	0.0635	-0.0445	0.3537	-0.2629	-0.1247	-0.0614	-0.5193
macrofagos+10772	Macrofagos+10772	Macrophages	H. sapiens	1	#E6AB02	Mcrf+10772	0.0172	-0.1883	0.0172	-0.1883	-0.0713	-0.1731	-0.0376	0.0018	-0.0208	-0.0165	0.0209	-0.0216	0.0047	-0.1148	0.1225	0.1659	-0.0977	-0.0607	0.0542	-0.0892	-0.0313	-0.0274	0.0152	-0.0125	0.0002	-0.0066	0.0088	0.0278	-0.0191	0.0664	-0.0038	0.0338	0.0389	-0.0130	0.0130	0.0288	0.0942	-0.0261	-0.0347	0.0248	0.0849	-0.0915	-0.0671	0.0361	-0.0357	0.0015	0.1281	0.0445	-0.0439	-0.0853	0.0143	-0.0910	-0.0374	-0.0342	0.0283	-0.0275	-0.0448	-0.0051	0.0135	-0.0113	-0.0192	-0.0136	0.0633	0.0146	0.0880	-0.0489	0.0173	0.0122	0.0201	-0.0353	-0.0543	-0.0551	0.0245	-0.0092	-0.0627	0.0417	-0.0093	0.0211	-0.0233	0.0790	0.0398	0.0440	0.0376	0.0170	-0.1123	-0.1042	0.1375	-0.0565	-0.0533	-0.0077	0.3655	0.0290	-0.4050	-0.2793	-0.0851	0.3910	0.1974	0.2663	-0.0520	-0.0922
macrofagos+10772+sbv	Macrofagos+10772+SbV	Macrophages	H. sapiens	1	#E6AB02	M+10772+SV	0.0118	-0.1907	0.0118	-0.1907	-0.0622	-0.1901	-0.0528	-0.0681	0.0465	0.0216	-0.0451	0.0161	-0.0175	0.1589	-0.1041	-0.1371	0.1227	0.0202	-0.0306	0.0878	0.0185	0.0303	-0.0160	0.0186	-0.0195	0.0055	-0.0036	0.0305	0.0190	-0.0534	-0.0242	-0.0016	0.0008	0.0099	-0.0322	-0.0277	0.0444	-0.0045	-0.0254	0.0313	0.0297	-0.0151	-0.0219	0.0156	-0.0155	-0.0133	0.0524	0.0177	-0.0099	-0.0587	0.0249	-0.0660	-0.0247	-0.0060	0.0076	-0.0112	-0.0342	0.0035	0.0161	-0.0042	-0.0186	0.0034	0.0081	-0.0014	0.0396	-0.0262	0.0119	-0.0044	0.0013	-0.0187	-0.0085	0.0006	-0.0237	-0.0065	-0.0256	0.0311	-0.0077	0.0189	0.0592	-0.0034	0.0405	-0.0041	-0.0199	0.0271	-0.0860	0.1152	-0.1181	0.0781	-0.0524	-0.0174	0.2421	0.0127	-0.1084	-0.1080	0.1044	-0.1669	-0.4572	0.1573	0.3847	0.4842
macrofagos+2169	Macrofagos+2169	Macrophages	H. sapiens	1	#E6AB02	Mcrfg+2169	0.0141	-0.1773	0.0141	-0.1773	-0.0835	-0.1653	-0.0888	0.0250	-0.0769	-0.0789	0.1152	-0.0480	0.0720	-0.2549	0.1543	0.0379	-0.1015	0.1396	0.0180	-0.1989	0.0637	-0.0813	-0.0077	-0.0243	0.0209	0.0826	0.0266	0.0655	-0.0501	0.1247	-0.0074	0.0654	0.0658	-0.0024	0.0051	0.0307	0.0965	-0.0422	-0.0384	-0.0023	0.0909	-0.0946	-0.0342	0.0127	-0.0463	0.0012	0.0893	0.0057	-0.0264	-0.0332	0.0541	-0.0376	-0.0221	-0.0133	0.0094	0.0005	-0.0323	0.0294	0.0074	0.0082	-0.0321	0.0286	-0.0190	0.0156	-0.0424	0.0619	-0.0290	0.0320	-0.0017	-0.0069	0.0937	0.0392	-0.0605	0.0065	0.0425	0.0072	0.0246	-0.0190	0.0576	-0.0607	0.0123	-0.0211	-0.0526	0.0150	-0.0280	0.0853	-0.0981	0.0542	-0.0485	-0.0223	0.1686	0.0271	-0.0957	-0.0688	0.0378	-0.4676	-0.0898	-0.4717	-0.2404	-0.0939
macrofagos+2169+sbv	Macrofagos+2169+SbV	Macrophages	H. sapiens	1	#E6AB02	Mc+2169+SV	0.0114	-0.1735	0.0114	-0.1735	-0.0770	-0.1962	-0.0132	0.0211	-0.0236	-0.0430	0.0332	0.0237	0.0115	0.0090	-0.0994	-0.2691	0.1067	0.2194	-0.0618	0.0043	0.1175	-0.0190	-0.0194	0.0101	0.0221	0.0441	0.0166	0.0024	0.0217	-0.0103	-0.0287	-0.0138	-0.0229	-0.0256	0.0069	0.0202	-0.0647	0.0399	0.0385	-0.0304	-0.1112	0.0781	0.0676	0.0279	-0.0053	0.0464	-0.1157	-0.0562	0.0557	0.0532	-0.0551	0.1274	0.0165	0.0482	-0.0145	0.1074	0.0175	0.0058	-0.0174	0.0498	0.0804	-0.0484	-0.0178	-0.0495	0.0927	-0.2293	0.0519	-0.0359	0.0199	0.0328	-0.1363	-0.1338	0.0936	-0.0181	-0.1267	0.0153	0.0485	-0.0073	0.0076	0.0143	-0.0213	0.0124	-0.0477	-0.0001	-0.0014	0.0135	0.0050	0.0187	0.0006	-0.0243	0.0274	0.0530	-0.0070	-0.0135	0.1648	-0.3230	0.1630	0.3442	0.0870	-0.4649
macrofagos+12309	Macrofagos+12309	Macrophages	H. sapiens	1	#E6AB02	Mcrf+12309	0.0174	-0.1858	0.0174	-0.1858	-0.0613	-0.1787	-0.0055	-0.0188	-0.0172	0.0605	-0.0269	0.0271	-0.0280	-0.0484	0.1175	0.2469	-0.1234	-0.2102	0.0735	0.0370	-0.2139	0.0041	0.0256	-0.0162	-0.0154	-0.0575	-0.0362	-0.1113	-0.0086	-0.0729	0.0142	-0.0933	-0.0259	-0.0204	0.0065	-0.0369	-0.1252	0.0675	0.1069	-0.0698	-0.1424	0.1201	0.1150	-0.0217	0.0372	-0.0065	-0.2077	-0.0540	0.0514	0.1192	-0.0337	0.1308	0.0149	0.0325	-0.0261	0.0461	0.0472	-0.0216	0.0079	0.0139	0.0074	0.0158	-0.0189	0.0106	-0.0514	-0.0036	-0.0526	-0.0017	-0.0219	0.0086	0.0586	0.0314	-0.0409	0.0203	0.0188	-0.0259	0.0543	-0.0437	0.0605	-0.0528	0.0015	-0.0223	-0.0497	-0.0032	-0.0139	0.1251	-0.1564	0.0788	0.0049	-0.0077	0.0467	0.0058	-0.0362	-0.0223	-0.0243	0.0516	0.2771	-0.2976	0.5126	-0.0620
macrofagos+12309+sbv	Macrofagos+12309+SbV	Macrophages	H. sapiens	1	#E6AB02	M+12309+SV	0.0160	-0.1857	0.0160	-0.1857	-0.0603	-0.1971	0.0204	-0.0289	0.0422	0.0640	-0.0855	0.0241	-0.0458	0.2095	-0.0979	-0.1161	0.0936	-0.0363	-0.0179	0.1150	-0.0162	0.0334	-0.0224	0.0049	-0.0029	0.0055	-0.0091	0.0135	0.0069	-0.0253	0.0324	-0.0157	-0.0163	0.0209	0.0132	-0.0102	0.0234	-0.0071	-0.0090	-0.0145	0.0536	-0.0401	-0.0584	0.0018	-0.0269	-0.0286	0.0731	-0.0027	-0.0396	-0.0170	0.0438	-0.0611	0.0086	-0.0279	0.0050	-0.0176	-0.0180	-0.0075	-0.0079	-0.0175	-0.0426	0.0277	-0.0048	0.0206	-0.0839	0.1521	-0.0495	0.0332	-0.0037	0.0146	0.1159	0.1001	-0.0717	0.0116	0.0908	-0.0326	0.0039	-0.0551	0.0368	-0.0594	-0.0103	-0.0263	-0.0737	0.0008	0.0082	0.0915	-0.1703	0.0588	-0.0367	-0.0280	-0.1317	0.0849	0.0017	0.0203	0.0018	-0.1275	0.6100	0.1544	-0.3092	0.3312
macrofagos+12367+sbv	Macrofagos+12367+SbV	Macrophages	H. sapiens	1	#E6AB02	M+12367+SV	0.0168	-0.1758	0.0168	-0.1758	-0.0680	-0.2071	0.0837	0.0219	0.0158	0.0377	-0.0803	0.0724	-0.0434	0.1654	-0.1038	-0.1417	0.0907	-0.0082	-0.0373	0.1194	0.0295	0.0505	-0.0155	-0.0002	-0.0139	-0.0161	-0.0040	-0.0207	0.0222	-0.0657	0.0206	-0.0251	-0.0361	0.0148	-0.0027	0.0032	-0.0403	0.0079	-0.0032	0.0142	0.0013	0.0047	-0.0208	-0.0474	0.0578	-0.0103	0.0013	0.0100	-0.0255	0.0038	-0.0034	-0.0320	0.0157	-0.0138	-0.0076	-0.0933	-0.0014	0.0074	-0.0099	-0.0441	-0.0520	0.0418	0.0080	0.0597	-0.0787	0.2024	-0.0382	0.0509	0.0075	-0.0048	0.0704	0.1504	-0.0688	-0.0370	0.1973	-0.0767	-0.0856	0.0271	-0.1095	0.1045	0.0504	0.0521	0.1318	-0.0179	0.0227	-0.3650	0.5131	-0.2524	0.0953	0.0228	0.1191	-0.0400	0.0832	0.0129	-0.0352	-0.0945	-0.0142	-0.2200	0.1053	-0.1357
macrofagos+11126	Macrofagos+11126	Macrophages	H. sapiens	1	#E6AB02	Mcrf+11126	0.0178	-0.1811	0.0178	-0.1811	-0.0634	-0.1850	0.0430	0.0076	-0.0177	0.0558	-0.0431	0.0514	-0.0360	-0.0486	0.0916	0.2212	-0.1174	-0.1926	0.0604	0.0491	-0.1777	0.0136	0.0321	-0.0259	-0.0091	-0.0712	-0.0302	-0.1132	-0.0079	-0.0926	0.0058	-0.0896	-0.0351	-0.0216	-0.0004	-0.0161	-0.1375	0.0642	0.0886	-0.0479	-0.1433	0.1305	0.1202	-0.0649	0.0721	-0.0041	-0.2045	-0.0432	0.0421	0.1205	-0.0475	0.1285	0.0397	0.0492	-0.0302	-0.0083	0.0519	-0.0008	0.0045	-0.0029	0.0126	0.0067	-0.0297	0.0294	-0.0656	0.0137	-0.0228	-0.0219	-0.0102	0.0153	0.0468	0.0305	-0.0304	-0.0062	0.0616	-0.0008	-0.0027	0.0089	0.0136	-0.0012	-0.0007	-0.0115	-0.0086	-0.0088	0.0158	-0.0200	0.0254	-0.0116	-0.0014	-0.0195	-0.0025	-0.0045	0.0012	0.0394	0.0075	-0.0622	-0.3980	0.2863	-0.5236	0.0276
macrofagos+12251	Macrofagos+12251	Macrophages	H. sapiens	1	#E6AB02	Mcrf+12251	0.0172	-0.1699	0.0172	-0.1699	-0.0904	-0.1740	-0.0344	0.0706	-0.1141	-0.0740	0.1171	-0.0286	0.0914	-0.2932	0.1612	0.0391	-0.1402	0.1335	0.0281	-0.2246	0.1042	-0.0743	-0.0106	-0.0312	0.0202	0.0814	0.0315	0.0541	-0.0251	0.1321	0.0069	0.0799	0.0446	0.0150	0.0409	0.0485	0.0377	-0.0326	-0.0086	-0.0129	0.0601	-0.0717	-0.0172	-0.0152	0.0195	-0.0117	0.0566	0.0107	-0.0414	0.0131	0.0528	0.0045	-0.0073	-0.0112	-0.0050	-0.0253	-0.0230	0.0481	0.0116	-0.0304	-0.0623	0.0633	-0.0077	0.0421	-0.0919	0.1747	-0.0474	0.0060	-0.0334	0.0085	0.1007	0.1210	-0.0628	0.0072	0.1071	-0.0527	-0.0408	-0.0146	-0.0417	-0.0047	-0.0081	-0.0284	0.0320	-0.0040	0.0943	-0.0302	0.0192	-0.0033	0.0670	0.0118	-0.3111	-0.0280	0.3101	0.1784	0.0760	0.1508	-0.0441	0.3681	0.2763	0.0686
macrofagos+12251+sbv	Macrofagos+12251+SbV	Macrophages	H. sapiens	1	#E6AB02	M+12251+SV	0.0123	-0.1660	0.0123	-0.1660	-0.0866	-0.1996	0.0080	0.0596	-0.0680	-0.0736	0.0684	0.0475	0.0516	-0.0852	-0.0541	-0.2723	0.0817	0.2794	-0.0841	-0.0490	0.1764	-0.0148	-0.0144	-0.0117	0.0168	0.0672	0.0177	0.0120	-0.0033	-0.0022	0.0026	0.0051	-0.0120	-0.0068	-0.0218	0.0257	-0.0964	0.0352	0.0317	-0.0360	-0.1044	0.0715	0.0826	-0.0149	0.0348	0.0550	-0.1684	-0.0281	0.0661	0.0579	-0.0481	0.1435	0.0073	0.0654	-0.0354	0.0521	0.0453	0.0257	-0.0151	0.0485	0.0498	-0.0544	0.0113	-0.0570	0.0506	-0.1222	0.0257	-0.0200	0.0197	0.0104	-0.0925	-0.1167	0.0731	0.0111	-0.0889	0.0214	0.0484	0.0234	-0.0119	-0.0151	-0.0338	-0.0002	0.0293	-0.0276	0.0435	-0.0188	-0.0033	-0.0237	-0.0051	0.0350	-0.0862	-0.0625	-0.0270	0.0273	-0.2115	0.4394	-0.0218	-0.3309	-0.1702	0.3127
2168e1	2168e1	Eosinophils	H. sapiens	1	#66A61E	2168e1	-0.0891	0.0324	-0.0891	0.0324	0.2213	-0.0659	-0.0009	0.0258	-0.0161	-0.0840	0.0877	0.0865	0.0190	-0.0337	-0.0017	0.0028	0.0090	-0.0360	-0.0435	0.0490	-0.0875	0.0287	0.0135	-0.0586	-0.0377	0.1375	0.1391	-0.0440	0.0526	-0.0699	-0.0962	0.0319	-0.0912	-0.1058	-0.0257	0.0051	0.0056	0.0632	0.1349	-0.0813	-0.0057	-0.1316	-0.0711	-0.0390	0.1903	0.1176	0.0709	0.0227	-0.0006	0.0349	-0.0267	-0.0191	0.0239	-0.0412	-0.0534	0.0371	-0.1967	-0.0621	0.0373	-0.0149	0.0480	0.0362	-0.0151	0.0547	0.0824	0.0103	-0.0408	-0.0023	-0.0503	0.0264	-0.0968	0.0259	0.0147	-0.0592	-0.0449	-0.1191	-0.0909	0.1322	0.0754	0.1459	-0.1241	-0.0687	0.2667	0.1536	-0.1147	-0.2844	-0.2721	0.0287	-0.0418	-0.3511	0.0726	-0.0519	-0.0612	0.2896	0.1806	0.0302	0.0343	-0.0544	-0.0238	0.0143
2168m2	2168m2	Monocytes	H. sapiens	1	#7570B3	2168m2	-0.0435	-0.1129	-0.0435	-0.1129	-0.0041	0.1552	-0.0156	-0.0507	0.0134	-0.1299	0.1203	0.0367	0.0817	0.0606	0.0441	0.0139	0.0349	0.0112	0.0944	0.0244	-0.0660	0.0945	0.0043	-0.0370	-0.0269	0.1180	0.1417	0.0262	0.0437	-0.0425	-0.0308	-0.0257	-0.0711	-0.0397	-0.1009	-0.2439	-0.0062	-0.0400	-0.0561	-0.0187	-0.0131	0.0605	-0.0397	0.0197	-0.0821	-0.0397	0.0197	-0.0412	-0.0648	0.0369	-0.0599	0.1063	-0.0022	-0.0352	0.0202	-0.0850	-0.0240	0.0219	0.0203	0.0732	0.0426	-0.0296	-0.0279	-0.1089	-0.1490	-0.0868	0.1268	-0.0243	0.1144	-0.1302	0.1389	-0.0720	-0.0292	0.0156	0.0299	0.1160	-0.0371	-0.1028	-0.0257	0.0787	0.0152	-0.2252	0.0940	0.0764	0.0254	-0.0226	0.0171	-0.0082	-0.0433	0.0851	0.1043	0.1034	0.3224	-0.3022	0.4652	0.1664	0.0438	-0.0785	-0.0817	0.0206
2168n2	2168n2	Neutrophils	H. sapiens	1	#D95F02	2168n2	-0.1242	0.1182	-0.1242	0.1182	-0.1275	-0.0295	-0.0348	-0.0215	0.0111	-0.1083	0.1319	-0.0043	0.0751	-0.0184	-0.0926	-0.0761	0.0113	-0.1096	0.0608	0.0115	-0.1742	0.1012	-0.0796	-0.0812	0.0473	0.0675	0.1558	-0.1223	-0.0006	-0.0287	0.1686	0.0950	-0.0192	-0.1130	-0.0689	0.1639	-0.0348	-0.2000	-0.0771	0.0345	-0.0438	-0.0259	-0.0246	-0.0332	-0.0888	-0.0277	0.0509	-0.0016	-0.0413	0.0741	0.0546	0.2115	-0.0256	-0.1372	-0.0333	-0.0603	0.2521	0.1547	-0.0127	0.0436	0.0888	0.1256	0.2031	0.1054	0.3502	0.0853	0.2602	-0.0324	0.1303	-0.0485	-0.1445	0.2616	-0.0883	-0.0833	0.0143	0.0866	-0.0617	-0.0860	0.0510	-0.0258	0.1150	0.0106	-0.0508	-0.1065	-0.0105	0.0208	-0.0112	0.0496	0.0540	-0.0294	-0.0047	-0.0146	-0.0263	0.0688	-0.0277	-0.0083	0.0039	-0.0053	-0.0055	-0.0040
2168e2	2168e2	Eosinophils	H. sapiens	1	#66A61E	2168e2	-0.0964	0.0296	-0.0964	0.0296	0.2218	-0.0733	-0.0250	-0.0063	0.0133	-0.1298	0.1082	0.0258	0.0671	0.0398	-0.0328	0.0303	-0.0729	0.0255	-0.0940	0.0644	-0.1412	0.1113	0.0316	-0.0062	0.0642	0.1168	0.1069	-0.0450	0.0655	-0.0458	-0.1289	0.0304	-0.1258	-0.0531	-0.0075	0.0367	-0.0106	0.0141	0.0816	-0.0913	-0.0384	-0.1787	-0.0891	0.0069	0.0938	0.1028	0.0127	0.0321	-0.0392	0.0294	-0.0043	0.0403	-0.0115	0.0015	-0.0394	0.0307	-0.1247	-0.0834	-0.0054	-0.0129	-0.0185	-0.0009	0.0131	0.0316	0.0335	0.0095	-0.0547	0.0043	0.0254	-0.0271	0.0366	-0.0434	-0.0210	-0.0040	0.0070	0.1095	0.0313	-0.0921	-0.0020	-0.0610	0.0828	0.0436	0.0293	0.2105	0.0379	-0.0553	-0.0017	-0.0132	-0.2829	0.2842	-0.2017	0.0316	0.1058	-0.3307	-0.4526	-0.1404	-0.0443	0.0684	0.0537	-0.0343
2168m3	2168m3	Monocytes	H. sapiens	1	#7570B3	2168m3	-0.0407	-0.1083	-0.0407	-0.1083	-0.0145	0.1554	-0.0393	-0.0236	-0.0185	-0.1315	0.1685	0.0264	0.0836	0.0217	0.0498	-0.0205	0.0152	-0.0129	0.0927	0.0052	-0.0236	0.0532	-0.0050	-0.0800	-0.0862	0.1081	0.1342	0.0769	0.1048	-0.0731	-0.0072	-0.0567	-0.1014	-0.0282	-0.0785	-0.2911	0.0234	0.0382	-0.0183	0.0423	0.0627	0.1572	-0.0518	-0.0031	-0.0354	-0.0478	0.0398	-0.0464	-0.0580	0.0108	-0.0990	-0.0713	0.0316	-0.0807	0.0627	-0.1192	0.0320	0.0512	-0.0002	0.0520	0.0026	-0.0122	-0.0798	-0.1890	-0.2517	-0.0184	0.1199	-0.0211	0.1337	-0.0906	0.1174	-0.0611	0.0743	0.0448	-0.0057	0.0358	-0.0283	-0.0489	-0.0151	0.0193	-0.0662	-0.0425	-0.0662	-0.2140	-0.0063	-0.0071	0.0539	-0.0226	0.0330	-0.2126	-0.1029	0.0154	-0.2826	0.2466	-0.3934	-0.1134	-0.0247	0.0795	0.0828	-0.0230
2168n3	2168n3	Neutrophils	H. sapiens	1	#D95F02	2168n3	-0.1092	0.1140	-0.1092	0.1140	-0.1238	-0.0063	-0.0685	-0.0085	-0.0168	-0.1236	0.2121	0.0088	0.0299	-0.0459	-0.0720	-0.1491	0.0381	-0.1638	0.0720	0.0340	-0.1624	0.0615	0.0176	-0.0971	-0.0636	0.0034	0.1602	-0.0476	0.1035	-0.0611	0.2360	0.0299	0.1094	-0.0290	0.0380	0.2261	0.0284	-0.0903	-0.0856	0.1183	-0.0895	-0.0091	0.0156	-0.0058	-0.1675	-0.1302	-0.0669	-0.0074	0.0298	-0.1230	0.0377	-0.0804	0.0482	0.0740	0.0284	-0.0474	0.1610	0.1749	0.0487	-0.0927	0.0334	-0.0331	-0.1100	0.0042	-0.1901	-0.0759	-0.2576	0.0335	-0.1585	0.1206	0.1027	-0.1846	0.0832	0.1037	-0.0159	-0.2525	0.0722	0.2097	-0.0309	-0.0062	-0.1763	0.0825	0.0443	0.1625	-0.0074	-0.0448	-0.0096	0.0065	-0.0462	0.0705	0.0088	0.0178	0.0067	-0.0657	0.0036	-0.0028	-0.0007	0.0149	0.0068	0.0041
2168e3	2168e3	Eosinophils	H. sapiens	1	#66A61E	2168e3	-0.0929	0.0286	-0.0929	0.0286	0.2182	-0.0590	-0.0829	-0.0235	0.0174	-0.1343	0.1295	-0.0023	0.0441	0.0179	-0.0792	0.0011	-0.0245	-0.0097	-0.0458	0.0463	-0.1010	0.0439	0.0358	-0.0385	0.0019	0.0982	0.1273	-0.0949	0.0986	-0.0450	-0.1482	0.0535	-0.0935	-0.0726	-0.0377	0.0529	0.0315	0.0069	0.1224	-0.0471	-0.0064	-0.1748	-0.0886	0.0274	0.0880	0.0924	-0.0305	0.0148	-0.0455	-0.0280	-0.0386	-0.0676	0.0072	0.0694	0.0178	0.0696	-0.0813	-0.1056	-0.0127	-0.0987	-0.0698	-0.0356	-0.0258	0.0532	-0.0494	-0.0111	-0.1325	-0.0244	-0.0956	0.0876	-0.0101	-0.0367	0.0091	0.0522	0.0214	0.0272	0.0806	-0.0440	-0.0719	-0.1016	0.0809	0.1302	-0.2730	-0.3191	0.1151	0.3317	0.2421	-0.0154	0.2919	0.0543	0.1001	-0.1052	-0.0529	0.0993	0.2339	0.0949	0.0087	-0.0232	-0.0478	0.0185
2008-1	2008-1	Biopsy	H. sapiens	1	#E7298A	2008-1	0.1180	0.0264	0.1180	0.0264	-0.0078	0.0313	-0.1693	0.1651	0.0694	0.0542	0.0499	0.1807	0.0479	-0.0007	-0.0436	0.1375	0.1350	-0.0232	-0.1149	-0.0972	0.0579	0.0382	-0.0119	0.0553	-0.0660	0.0351	0.0366	-0.0427	-0.1588	0.1045	0.0351	0.0203	-0.1482	0.0618	0.2402	-0.0424	-0.2601	-0.0609	0.1000	0.2503	0.0291	-0.0447	-0.1702	-0.2147	-0.0363	-0.0377	0.0223	-0.0456	0.0057	0.0095	0.0344	-0.0334	0.1176	0.0749	-0.0074	-0.0263	-0.0122	-0.0269	-0.2068	-0.0805	0.2123	0.1011	-0.0812	0.0170	-0.0543	-0.1035	0.0547	-0.0105	-0.0408	-0.0878	-0.1468	0.0029	0.1329	-0.1075	0.3130	-0.0639	0.0195	-0.0360	-0.2374	0.1882	0.0433	0.0189	-0.0369	0.0128	-0.0784	0.1192	-0.0802	0.0255	-0.0426	0.0483	0.0174	-0.0050	-0.0137	-0.0133	-0.0130	-0.0077	0.0038	-0.0101	0.0040	0.0111
2008-2	2008-2	Biopsy	H. sapiens	1	#E7298A	2008-2	0.1444	0.0623	0.1444	0.0623	0.0167	0.0262	-0.1357	-0.1414	0.0359	0.0692	-0.0464	0.2603	0.1611	0.0335	-0.0810	0.0925	0.0954	-0.0583	0.0089	-0.0887	0.0097	-0.0319	-0.0515	-0.0517	-0.0052	0.0833	-0.0910	0.2882	-0.0758	0.0324	-0.0698	-0.1011	0.0167	-0.1279	-0.0295	0.0979	-0.1553	-0.0526	0.0174	0.2228	0.0200	-0.0619	-0.0549	0.0277	0.0300	-0.0075	-0.1897	0.0658	-0.0984	-0.0519	-0.0485	0.0472	0.0155	0.0194	-0.1180	0.0019	-0.0037	0.1216	0.1991	0.0658	-0.2589	0.1263	0.0549	0.1639	-0.0441	0.1645	0.0077	-0.0869	-0.0600	-0.2228	-0.1057	-0.2664	0.0190	0.0192	-0.0862	0.0112	0.0192	-0.1407	0.1932	-0.1996	-0.0925	0.0086	-0.0221	0.0072	0.0105	-0.0961	0.0399	-0.0330	0.0387	-0.0502	-0.0113	0.0094	0.0087	-0.0006	0.0256	-0.0073	0.0117	0.0041	-0.0050	-0.0149
2008-3	2008-3	Biopsy	H. sapiens	1	#E7298A	2008-3	0.1552	0.0788	0.1552	0.0788	0.0246	0.0021	0.0004	-0.3175	0.0196	-0.0309	-0.0124	-0.0037	-0.0011	-0.0252	0.0314	-0.0384	0.0594	0.0116	-0.0035	-0.1282	-0.1139	-0.0903	-0.0325	0.0225	-0.0122	0.0641	-0.0441	0.1945	-0.0855	-0.0283	0.0098	-0.1513	-0.0774	-0.1669	0.1053	0.0650	-0.1415	-0.0031	0.0791	0.1914	0.1039	-0.0499	-0.1293	-0.1547	0.0199	-0.0368	-0.2140	-0.0227	-0.1361	-0.0314	0.0952	0.0052	-0.0666	-0.0542	0.1158	0.0530	0.0113	-0.0924	-0.0077	0.0090	0.0564	-0.2880	0.0526	-0.2897	0.1070	-0.0847	-0.0693	0.1357	0.0559	0.2470	0.1717	0.2569	-0.1525	0.0628	-0.1569	0.0639	-0.0634	0.1230	-0.0376	0.0589	0.0520	-0.0199	0.0034	0.0051	0.0288	-0.0310	0.0138	-0.0089	-0.0094	0.0092	-0.0014	-0.0236	0.0125	0.0112	-0.0021	0.0009	0.0050	0.0108	-0.0042	-0.0012
1029-1	1029-1	Biopsy	H. sapiens	1	#E7298A	1029-1	0.1259	0.0235	0.1259	0.0235	0.0062	0.0222	-0.0936	-0.0419	0.1802	-0.0130	0.1218	0.0137	-0.1985	-0.0471	0.0640	0.0837	0.0569	-0.0239	-0.0767	-0.0223	0.1127	0.1282	-0.0075	0.0087	-0.0816	0.0065	0.0321	0.0630	-0.0849	-0.1525	0.0214	0.0047	-0.0063	0.0335	0.0166	0.0359	-0.0178	-0.0170	0.0367	0.0333	-0.1340	0.1215	-0.0071	0.3190	-0.0414	0.2352	0.1482	0.0576	0.0379	0.0001	0.0188	0.0070	-0.1905	0.0301	-0.0436	-0.0835	-0.0240	0.0334	0.0249	0.0724	-0.0671	-0.0111	0.0106	0.0324	-0.0253	-0.1673	0.1314	0.1583	-0.0791	0.0970	0.0613	0.0325	-0.0041	-0.0585	0.1905	0.0431	0.0811	0.1899	0.1117	-0.0706	0.1524	-0.1026	-0.3933	0.2108	0.0750	-0.2005	-0.0468	-0.0785	0.0904	-0.0099	-0.0201	-0.0459	0.0001	0.0642	-0.0063	0.0316	0.0033	0.0001	0.0013	0.0018
1029-2	1029-2	Biopsy	H. sapiens	1	#E7298A	1029-2	0.1389	0.0463	0.1389	0.0463	0.0266	0.0151	-0.1211	-0.2524	0.1494	-0.0063	0.0542	0.1074	-0.2128	-0.0429	0.0397	-0.0150	-0.0183	-0.0101	-0.0894	-0.1570	0.0547	0.0490	-0.0562	0.0690	-0.0844	-0.0619	0.0567	-0.0096	-0.0130	-0.0777	-0.0234	0.0519	0.0708	-0.0088	-0.0557	-0.0017	-0.0696	-0.0443	-0.0366	-0.0454	-0.0894	0.0465	-0.0164	0.1662	-0.0424	0.1160	0.0813	-0.0527	0.1938	0.0930	-0.0143	0.0056	0.0686	-0.0188	0.0288	0.0082	0.0087	-0.0003	-0.0414	-0.0410	-0.0324	0.0473	-0.0813	0.0368	-0.0129	0.0564	0.0031	0.0545	-0.0008	-0.0663	-0.0090	-0.0356	-0.0337	0.0580	0.0513	0.0594	-0.0792	0.2513	0.0817	-0.0466	0.1376	0.0909	0.5532	-0.2348	0.0261	0.2439	0.1032	0.0908	-0.0709	0.0018	-0.0532	0.0635	-0.0090	-0.0321	-0.0201	-0.0270	0.0433	0.0186	-0.0156	-0.0083
1029-3	1029-3	Biopsy	H. sapiens	1	#E7298A	1029-3	0.1434	0.0631	0.1434	0.0631	0.0325	-0.0013	0.0298	-0.1941	0.2488	0.0088	0.0874	0.0817	-0.2172	-0.0480	0.0574	-0.0704	-0.0099	0.0269	-0.0628	-0.1139	-0.0082	0.0063	-0.0418	0.0080	-0.0149	-0.0251	0.0608	-0.0467	-0.0555	-0.0277	-0.0362	0.0182	0.1061	0.0392	-0.0921	-0.0168	-0.0149	-0.0216	0.0143	-0.0540	-0.1097	0.0487	0.0235	0.0545	-0.0610	0.1166	0.0989	-0.0577	0.0870	0.1540	0.2004	-0.0596	0.0424	-0.0268	0.0535	0.0462	0.0819	-0.0659	-0.0711	-0.0579	0.0404	0.0591	-0.0599	0.0045	-0.0072	0.2258	-0.1718	-0.2212	0.1238	-0.0304	0.0124	0.0269	0.0088	0.0251	-0.2723	-0.0630	-0.0357	-0.3626	-0.2409	0.1445	-0.2669	-0.0085	-0.2051	0.0534	-0.0827	-0.0889	-0.0278	-0.0206	0.0013	0.0293	0.0426	-0.0418	-0.0041	-0.0118	0.0052	0.0167	-0.0352	-0.0038	-0.0018	0.0037
1036-1	1036-1	Biopsy	H. sapiens	1	#E7298A	1036-1	0.1274	0.0508	0.1274	0.0508	-0.0022	0.0319	-0.1210	0.0871	-0.2174	-0.0583	-0.0373	0.0210	0.0050	0.0746	-0.0769	0.1298	0.0957	-0.0256	-0.0171	0.0086	0.0321	0.0201	-0.0646	-0.3151	0.2009	-0.0350	0.0210	-0.0464	0.0197	0.0737	-0.1657	-0.1213	0.0438	0.0503	0.0567	-0.0068	-0.1231	-0.1112	-0.0505	-0.0561	-0.0205	-0.0096	0.1103	0.1209	-0.1113	0.0627	0.1778	-0.0684	0.0694	-0.0488	-0.0219	-0.0449	0.0566	-0.0272	0.0971	0.1296	0.0233	0.0234	-0.2454	-0.0760	0.0969	-0.1965	-0.0864	-0.2039	0.1046	-0.0052	-0.0824	0.0285	-0.0317	0.0461	0.0396	0.0903	-0.0062	-0.0396	0.1038	-0.0943	0.1376	-0.2673	0.3409	-0.1779	-0.1002	0.0262	0.1044	-0.0237	0.0033	-0.1110	0.0536	-0.0334	0.0262	-0.0329	0.0176	0.0082	0.0061	-0.0021	0.0087	0.0353	-0.0372	0.0170	0.0063	0.0150
1036-2	1036-2	Biopsy	H. sapiens	1	#E7298A	1036-2	0.1407	0.0717	0.1407	0.0717	0.0020	-0.0094	0.0951	0.0232	-0.2226	-0.0101	-0.0571	0.1976	0.0762	0.0911	-0.1369	0.0633	0.0590	-0.0191	0.0311	-0.1524	-0.0295	-0.0269	-0.0369	-0.3316	0.1676	-0.0917	0.0355	0.0200	0.0814	-0.0050	-0.1146	-0.1792	0.1708	0.0708	-0.0062	0.0574	0.0532	0.0273	-0.0398	-0.0534	0.0050	-0.0165	-0.0793	0.2256	-0.0100	-0.0489	0.0004	-0.0134	0.1333	-0.0445	-0.2035	0.0599	-0.0541	-0.0140	0.0367	0.0529	-0.0727	-0.0167	0.1709	0.0347	-0.1191	0.1835	0.0088	0.1131	-0.0373	-0.0834	0.1617	0.0483	0.0663	0.1921	0.0671	0.1092	0.0155	0.0051	-0.0453	-0.0346	-0.0538	0.0773	-0.3679	0.2226	0.0127	-0.0135	-0.0364	-0.0084	-0.0355	0.1122	-0.0646	0.0312	-0.0640	0.0466	-0.0120	-0.0062	0.0026	0.0074	-0.0304	-0.0104	-0.0106	-0.0272	-0.0066	-0.0046
1036-3	1036-3	Biopsy	H. sapiens	1	#E7298A	1036-3	0.1394	0.0843	0.1394	0.0843	0.0121	-0.0360	0.2655	-0.0193	-0.0192	-0.0277	0.0564	-0.0152	-0.2359	0.0145	0.0088	-0.1094	-0.0952	0.0382	0.0397	-0.1233	-0.0798	-0.0689	-0.0296	-0.2707	0.1393	-0.0136	0.0276	-0.0934	-0.0194	-0.1379	-0.1638	-0.1006	0.2555	0.1416	-0.0415	-0.0256	0.0061	0.0524	-0.0993	-0.0018	0.1136	0.0458	-0.1674	-0.3065	0.0709	-0.0066	-0.0449	0.0617	-0.1161	-0.0105	0.0794	-0.0325	-0.0872	0.0065	-0.0996	-0.1827	0.0228	-0.0923	-0.0455	-0.0224	0.3205	-0.0393	0.0695	0.1287	-0.1166	-0.0115	0.0095	0.0445	-0.0467	-0.1907	-0.1245	-0.1610	0.0011	0.0169	0.0258	0.0677	-0.0180	0.0917	0.1284	-0.1063	0.0991	-0.0079	-0.0642	0.0470	0.0766	0.0146	0.0080	0.0235	0.0208	-0.0150	0.0012	0.0012	0.0084	0.0172	0.0095	-0.0089	0.0218	0.0051	0.0271	-0.0022
1037-1	1037-1	Biopsy	H. sapiens	1	#E7298A	1037-1	0.1304	0.0657	0.1304	0.0657	-0.0004	0.0033	0.1311	0.1626	-0.0362	-0.0564	0.0656	0.0994	-0.1534	-0.0258	-0.0472	0.0126	-0.1549	-0.0086	0.1409	0.0659	0.0802	0.0626	0.1014	-0.0419	0.0625	0.0795	-0.1448	0.0290	0.0363	-0.2884	0.0501	0.2287	-0.0093	-0.0415	0.0092	-0.1067	0.0022	-0.0320	-0.0076	0.0664	0.0716	0.0577	0.0757	0.0125	0.0510	0.1365	-0.0449	0.1203	-0.1779	-0.1211	0.0663	0.0353	-0.3101	0.1238	-0.0280	0.0536	0.0897	0.0840	0.0230	0.1053	-0.2589	-0.1709	0.0062	-0.1768	0.1614	0.0120	-0.0916	0.0708	-0.0506	-0.1031	-0.1039	-0.0066	-0.0020	-0.0476	0.1591	-0.1368	0.0174	-0.1409	-0.1755	0.1184	-0.0992	0.0381	0.1332	-0.0774	-0.0725	0.1419	-0.0285	0.0445	-0.0603	-0.0146	-0.0135	0.0250	0.0154	-0.0209	0.0072	-0.0423	0.0075	-0.0008	-0.0076	-0.0059
1037-2	1037-2	Biopsy	H. sapiens	1	#E7298A	1037-2	0.1474	0.0911	0.1474	0.0911	0.0110	-0.0086	0.0892	-0.0103	-0.1304	0.0345	-0.1099	0.3904	0.1602	0.0041	-0.1919	0.0489	-0.1009	0.0039	0.0824	-0.1403	0.0139	0.0048	0.2115	0.1728	0.0080	0.0608	-0.1869	0.0099	0.1652	-0.1412	0.1325	0.4229	0.0541	-0.1182	-0.0231	-0.0807	-0.0440	-0.0222	0.0067	-0.1771	0.0269	-0.0512	0.0305	-0.0505	-0.0288	-0.1562	0.0902	-0.0820	0.1251	0.1315	0.0735	-0.0921	0.0381	0.0238	0.1017	-0.0644	-0.0494	-0.0202	-0.1026	-0.0316	0.1376	0.0762	0.0084	0.0073	-0.0520	-0.1108	0.0346	0.0375	0.0219	0.0800	0.0796	-0.0120	-0.0405	0.0510	-0.0957	0.0794	-0.0067	0.0306	0.1334	-0.0863	0.0295	0.0053	-0.1141	0.0344	0.0236	-0.0832	0.0209	-0.0256	0.0342	0.0066	0.0201	-0.0160	-0.0076	0.0083	0.0078	-0.0029	0.0061	0.0014	0.0114	0.0116
1031-1	1031-1	Biopsy	H. sapiens	1	#E7298A	1031-1	0.1355	0.0616	0.1355	0.0616	-0.0047	0.0074	0.0116	0.0824	-0.1259	-0.1177	-0.0030	-0.0604	-0.2092	-0.0230	0.0358	0.0202	0.0203	-0.0138	0.0466	0.1952	0.0861	0.0219	-0.0247	-0.1098	0.1262	0.1146	-0.0614	0.0701	-0.1485	-0.0159	0.1612	-0.0637	-0.3119	0.0696	0.2208	0.0311	0.0224	-0.0346	0.2061	0.0161	0.0265	-0.0126	0.1516	0.0900	0.0466	-0.0839	0.0926	0.0824	-0.0995	0.0145	0.0476	-0.0828	-0.0997	0.1383	-0.1200	-0.1249	-0.0102	0.0617	-0.1767	-0.0091	0.0737	0.1754	0.1339	0.1384	-0.1015	0.0142	0.0745	-0.2853	0.0456	0.1886	0.1355	-0.0684	-0.0069	0.1329	-0.2597	0.1167	-0.0288	0.0572	0.0056	-0.0479	0.0018	0.0067	0.1284	-0.0743	-0.0077	0.0277	0.0214	0.0355	0.0038	-0.0021	0.0177	0.0141	0.0221	-0.0223	0.0151	-0.0130	-0.0030	-0.0185	0.0057	-0.0090
1031-3	1031-3	Biopsy	H. sapiens	1	#E7298A	1031-3	0.1393	0.0558	0.1393	0.0558	0.0210	-0.0002	0.0034	-0.1915	0.1339	-0.0490	0.0598	-0.1193	-0.2592	-0.0156	0.0699	-0.0822	-0.0832	0.0129	0.0789	0.1220	-0.0103	-0.0894	-0.0467	-0.0728	0.1122	0.1829	-0.1323	0.1077	-0.0605	-0.0027	-0.0788	0.0287	-0.1371	0.0109	-0.1002	0.0535	0.1246	-0.1164	0.0815	-0.0660	0.0478	-0.1909	0.3263	-0.1370	-0.0159	-0.3603	-0.0096	-0.1250	0.1046	0.0478	-0.1647	-0.0026	0.2132	-0.0869	0.1793	-0.0033	-0.0838	0.0438	0.0867	-0.0307	-0.1035	0.0645	-0.0965	0.0244	0.0491	-0.1160	0.0958	0.1580	-0.0502	-0.0648	-0.1020	-0.0351	0.0218	-0.0900	0.1805	-0.0775	0.0328	-0.0457	-0.0317	0.0506	0.0142	0.0066	-0.0811	0.0411	0.0040	-0.0165	-0.0115	-0.0176	-0.0115	0.0099	-0.0214	0.0002	-0.0021	0.0127	-0.0203	0.0337	-0.0052	-0.0085	-0.0011	0.0029
2002-1	2002-1	Biopsy	H. sapiens	1	#E7298A	2002-1	0.1229	0.0424	0.1229	0.0424	-0.0109	-0.0013	0.0264	0.1991	-0.0985	-0.0399	0.0742	-0.0083	-0.1454	0.0678	-0.0328	0.0619	0.0145	-0.0038	-0.0910	-0.0717	0.0898	0.1523	-0.0303	0.1456	-0.1382	-0.0956	0.1784	-0.2219	-0.0877	0.0967	-0.0301	0.1105	-0.0106	0.1838	0.0778	-0.0878	-0.1378	-0.0385	-0.0435	0.0475	0.0192	-0.2113	0.0519	0.2210	0.1104	-0.2947	-0.1520	0.0160	-0.0119	0.1225	0.0114	-0.0350	0.0247	-0.2082	0.0298	-0.1653	0.0003	-0.1208	0.3808	0.0785	0.0068	-0.2513	0.1923	-0.0716	-0.0212	0.0682	-0.0101	-0.0073	-0.0004	0.0243	-0.0324	-0.0055	0.0298	0.0054	-0.0850	-0.0220	0.0380	-0.0254	0.0510	-0.0483	-0.0468	0.0211	0.0092	0.0049	-0.0137	0.0141	0.0040	0.0071	0.0072	-0.0189	0.0051	-0.0057	-0.0022	0.0038	0.0095	-0.0347	-0.0057	0.0027	0.0002	-0.0003
1019-2	1019-2	Biopsy	H. sapiens	1	#E7298A	1019-2	0.1266	0.0478	0.1266	0.0478	-0.0180	0.0123	-0.0179	0.1571	-0.1810	-0.0533	0.0143	0.0132	0.0435	0.0469	-0.0766	0.1661	0.1064	-0.0439	-0.0547	0.0315	0.1818	0.1644	-0.0440	-0.0773	-0.0140	-0.1070	0.0379	0.0503	0.0088	0.0692	0.0390	-0.1004	-0.1919	-0.0686	-0.0966	0.0773	0.1568	0.0037	0.0198	-0.1353	-0.0014	-0.0168	0.1680	-0.2300	-0.1704	0.0931	0.0032	0.0108	0.0620	0.0536	0.1536	0.0049	-0.0138	-0.0495	0.0597	0.0506	0.1085	-0.0773	0.1402	-0.0045	-0.0254	0.0038	-0.2538	-0.1349	0.0975	0.1526	-0.2095	-0.0203	0.0398	-0.2660	-0.0562	-0.0832	-0.1233	0.0254	-0.0857	0.1788	-0.1432	0.2897	-0.0647	0.0534	0.1461	-0.0564	-0.1252	0.0723	0.0225	0.0203	-0.0088	0.0089	0.0427	-0.0073	-0.0080	-0.0184	-0.0113	0.0151	0.0077	-0.0097	0.0227	0.0038	0.0053	-0.0151
1019-3	1019-3	Biopsy	H. sapiens	1	#E7298A	1019-3	0.1404	0.0582	0.1404	0.0582	-0.0113	0.0076	0.0306	-0.0091	-0.1223	-0.0716	0.0209	0.0360	-0.0972	0.0025	0.0246	0.0535	-0.0098	-0.0523	-0.0412	-0.0084	0.1784	0.2105	-0.0734	0.1481	-0.1699	-0.2264	0.1341	0.0399	-0.0095	0.0469	0.0652	-0.1122	-0.0477	-0.1097	-0.1623	0.0808	0.3697	0.1328	0.0782	-0.0417	0.0252	0.0614	-0.1841	-0.3316	-0.0607	0.0254	-0.0606	-0.0499	0.0235	0.0509	0.0737	0.0286	-0.0609	0.0248	0.0091	0.0766	-0.0322	-0.0298	0.0111	0.0247	-0.0953	0.0709	0.1308	0.0961	-0.0655	-0.2003	0.1596	0.0451	-0.0164	0.1773	0.0185	0.0547	0.0653	-0.0016	0.0626	-0.1446	0.1203	-0.2597	0.1185	-0.0843	-0.1080	0.0667	0.1039	-0.0512	-0.0062	-0.0156	0.0179	-0.0172	-0.0356	0.0336	0.0024	0.0020	0.0250	-0.0109	0.0097	0.0035	-0.0124	0.0028	0.0015	0.0115
2004-1	2004-1	Biopsy	H. sapiens	1	#E7298A	2004-1	0.1313	0.0673	0.1313	0.0673	-0.0253	-0.0185	0.2193	0.2543	-0.0718	0.0434	0.1465	-0.1956	0.1055	0.1572	-0.0896	0.0716	-0.0388	-0.0462	0.0321	-0.0245	-0.0397	0.0242	0.0140	0.2137	-0.2473	0.1597	-0.0002	0.1834	-0.2415	-0.0159	-0.2576	0.0154	0.1729	-0.0244	-0.3340	0.1112	-0.0026	-0.1194	-0.0725	0.1615	-0.2327	0.0343	0.1648	0.0424	0.0868	-0.0227	0.0154	0.0425	-0.0950	-0.1062	-0.0479	0.0080	0.0725	-0.0120	-0.0441	0.0993	-0.0795	0.0210	-0.2070	-0.0205	0.1131	0.0658	-0.0552	0.0107	-0.0372	0.0285	-0.0030	0.0179	0.0367	0.0980	0.0647	0.0382	-0.0210	0.0404	-0.0403	0.0283	-0.0578	0.0257	-0.0180	0.0310	0.0266	0.0243	0.0282	-0.0392	-0.0001	0.0174	-0.0243	0.0076	-0.0072	0.0112	0.0094	0.0208	-0.0227	-0.0005	-0.0170	-0.0018	0.0163	0.0079	0.0056	-0.0009
2004-2	2004-2	Biopsy	H. sapiens	1	#E7298A	2004-2	0.1470	0.1004	0.1470	0.1004	0.0180	-0.0485	0.2672	-0.2884	-0.2892	-0.0850	-0.0968	-0.2003	0.1600	0.0944	-0.0423	-0.0118	0.1076	0.1070	-0.0831	-0.2074	-0.2952	-0.2061	0.1618	0.1432	-0.1504	0.0853	0.0432	-0.1482	-0.1055	-0.0256	0.1351	-0.0199	-0.2338	0.2016	0.1415	-0.0606	0.1529	0.0507	0.0654	0.0588	-0.0485	0.0734	0.0460	0.0846	-0.1057	0.1355	0.1150	0.0174	0.0623	-0.0196	-0.0259	0.0301	-0.0307	-0.0065	-0.0223	-0.0115	0.0433	0.0180	0.0648	-0.0250	-0.0635	0.0022	-0.0539	0.0427	0.0238	0.0244	-0.0115	0.0069	-0.0441	-0.1273	-0.0694	-0.0536	0.0447	-0.0454	0.1102	-0.0531	0.0290	-0.0617	0.0283	-0.0278	-0.0299	-0.0018	0.0057	0.0037	-0.0104	-0.0050	0.0081	-0.0074	0.0120	-0.0180	-0.0010	-0.0017	-0.0049	-0.0008	0.0056	0.0171	-0.0168	0.0009	-0.0075	-0.0009
2001-2	2001-2	Biopsy	H. sapiens	1	#E7298A	2001-2	0.1460	0.0705	0.1460	0.0705	-0.0065	-0.0465	0.2674	-0.1062	-0.0066	-0.0295	0.0455	-0.1479	0.0748	-0.0918	0.1024	0.0636	-0.0105	-0.0230	0.0163	0.2463	0.1913	0.1540	0.0084	-0.0692	0.0448	-0.0899	-0.0143	-0.0862	0.0492	-0.0494	0.0348	0.2141	0.1012	0.0897	0.0829	-0.0431	-0.0133	0.0389	0.0006	0.1887	0.0382	-0.0153	-0.3057	-0.0308	0.0018	0.0505	0.0059	-0.1155	0.0806	-0.0239	-0.2129	0.0957	0.4310	0.0490	-0.0497	0.1569	-0.0191	0.1432	-0.1044	-0.0233	-0.2018	-0.1176	0.0681	-0.0568	0.0357	0.0749	-0.0007	-0.1673	-0.0015	-0.0096	0.0245	-0.0145	-0.0408	0.0088	-0.0605	0.0786	-0.0208	0.1068	0.0279	0.0025	0.0560	-0.0745	-0.0830	0.0465	-0.0279	-0.0222	-0.0261	-0.0006	0.0165	-0.0101	0.0080	-0.0062	0.0034	-0.0058	0.0060	-0.0182	0.0046	-0.0125	0.0157	0.0036
2001-3	2001-3	Biopsy	H. sapiens	1	#E7298A	2001-3	0.1480	0.0634	0.1480	0.0634	0.0106	-0.0534	0.2812	-0.1446	0.2291	0.1108	0.1419	-0.2323	0.3111	-0.0813	0.0233	0.1004	0.1393	-0.0168	-0.0220	0.2260	0.1323	0.0352	0.0087	-0.1231	0.1120	-0.0067	-0.0545	-0.0212	0.2538	0.3088	0.0386	0.0684	0.0224	-0.0334	-0.0509	-0.1021	-0.1295	0.0357	0.0297	0.0727	-0.0831	-0.0442	0.0509	0.0770	-0.0046	0.0000	-0.0712	0.0355	-0.0214	0.1097	0.2036	-0.0840	-0.2506	-0.0255	0.0174	-0.0750	-0.0022	-0.0977	0.0841	0.0297	0.1001	0.1802	-0.0893	0.0376	-0.0055	-0.0923	-0.0011	0.1300	0.0110	0.0339	-0.0003	0.0092	0.0445	-0.0019	0.0465	-0.0385	0.0385	-0.0383	0.0119	-0.0328	-0.0313	0.0614	0.1187	-0.0404	-0.0017	0.0286	0.0014	0.0021	0.0085	-0.0057	0.0094	0.0093	-0.0172	0.0020	0.0011	-0.0027	-0.0024	0.0060	-0.0113	0.0022
2003-3	2003-3	Biopsy	H. sapiens	1	#E7298A	2003-3	0.1486	0.0725	0.1486	0.0725	0.0234	-0.0215	0.1847	-0.0900	0.1933	0.0785	0.0981	0.0977	-0.0066	-0.0195	-0.0853	-0.0572	-0.1079	-0.0233	0.0601	-0.1119	0.0294	-0.0264	-0.0415	0.1344	-0.0750	-0.1446	0.1477	-0.0510	0.1369	0.2883	0.0335	-0.1498	-0.1604	-0.2284	0.0920	0.0246	-0.1317	-0.0009	-0.1796	-0.3480	0.0879	0.0619	0.1560	-0.0413	0.0660	-0.0652	0.1302	0.1535	-0.0635	-0.2838	-0.2513	0.0469	0.0088	0.0982	-0.1738	-0.0130	-0.0401	0.1002	-0.0703	0.0503	0.0203	-0.1057	0.0602	-0.0689	-0.0091	0.0806	-0.0213	-0.1306	-0.0226	0.0288	0.0066	0.0082	0.0474	-0.0486	0.0730	-0.0006	0.0253	0.0322	-0.0037	0.0100	0.0286	-0.0055	-0.0644	0.0125	-0.0297	0.0168	-0.0387	-0.0034	0.0011	0.0111	0.0130	0.0010	-0.0113	-0.0058	0.0033	-0.0107	-0.0102	-0.0100	0.0139	0.0044

write.csv(q2_pca$table, file = "coords/q2_pca_coords.csv")

11 Request on 202101

Maria Adelaida sent an email which said: “I have been working on the gene lists and the easiest and cleanest way I found was to get the GSEA hallmark gene sets that may be of interest to us. The idea is that we use some of these gene lists (to star the xenobiotic list) to map the changes in gene expression over the course of treatment and in the different cell populations.”

Upon speaking with her, I think the goal is to have a plot with one line per MSigDB Hallmark category gene. The x-axis will therefore be the three time points for those patients for whom we have 3 visits; the y-axis will be normalized cpm. Each dot will be a single Hallmark gene.

With that in mind, the most difficult challenge is picking out the samples for which we have the three time points.

meta <- hpgltools::extract_metadata(samplesheet)

## Dropped 103 rows from the sample metadata because they were blank.

na_idx <- is.na(meta)
meta[na_idx] <- ""

visit_3_samples <- meta[["visitnumber"]] == 3
threes <- meta[visit_3_samples, ]
visit_2_samples <- meta[["visitnumber"]] == 2
twos <- meta[visit_2_samples, ]
visit_1_samples <- meta[["visitnumber"]] == 1
ones <- meta[visit_1_samples, ]

ones[["tubelabelorigin"]] %in% twos[["tubelabelorigin"]]

##  [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE  TRUE FALSE
## [13]  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE
## [25]  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE FALSE  TRUE  TRUE  TRUE  TRUE FALSE
## [37] FALSE FALSE FALSE FALSE  TRUE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE
## [49] FALSE FALSE FALSE FALSE FALSE FALSE FALSE

ones_twos <- ones[["tubelabelorigin"]] %in% twos[["tubelabelorigin"]]
one_two <- meta[ones_twos, ]
all_three_idx <- threes[["tubelabelorigin"]] %in% one_two[["tubelabelorigin"]]
all_three <- threes[all_three_idx, ]
wanted_patients <- levels(as.factor(all_three[["tubelabelorigin"]]))

## So, it appears we have 3 visits for patients: su2068, su2072, and su2073.
plot_expt <- subset_expt(expt = all_norm, subset = "tubelabelorigin=='su2068'|tubelabelorigin=='su2072'|tubelabelorigin=='su2073'")

## Using a subset expression.

## There were 105, now there are 30 samples.

plot_pca(plot_expt)$plot

plot_monocyte <- subset_expt(plot_expt, subset = "typeofcells=='Monocytes'&tubelabelorigin!='su2072'")

## Using a subset expression.

## There were 30, now there are 6 samples.

up_monocyte_genes <- rownames(mono_sig[["deseq"]][["ups"]][["fail_vs_cure"]])
down_monocyte_genes <- rownames(mono_sig[["deseq"]][["downs"]][["fail_vs_cure"]])
plot_monocyte <- exclude_genes_expt(plot_monocyte, ids = down_monocyte_genes, method = "keep")

## Before removal, there were 14927 entries.

## Now there are 264 entries.

## Percent of the counts kept after filtering: 2.210, 1.572, 1.822, 1.463, 1.825, 1.504

## There are 6 samples which kept less than 90 percent counts.

##              2068m1  2073m1  2068m2  2073m2  2068m3  2073m3
## removed_sums  53149 53543.4 53362.5 53601.6 53360.1 53580.0
## kept_sums      1201   855.2   990.1   795.9   991.8   817.9
## kept_sums      1201   855.2   990.1   795.9   991.8   817.9
## kept_sums      1201   855.2   990.1   795.9   991.8   817.9
## kept_sums      1201   855.2   990.1   795.9   991.8   817.9
## kept_sums      1201   855.2   990.1   795.9   991.8   817.9

hallmark_table <- openxlsx::read.xlsx(xlsxFile = "reference/geneset_selection_GSEA_Hallmark_modified.xlsx")
first_category <- hallmark_table[[1]]

hallmark_genes_idx <- fData(plot_monocyte)[["hgnc_symbol"]] %in% first_category
hallmark_genes <- fData(plot_monocyte)[hallmark_genes_idx, ]
wanted <- rownames(hallmark_genes)

plotted <- exprs(plot_monocyte)[wanted, ]
plot_long <- reshape2::melt(plotted)
colnames(plot_long) <- c("gene", "samplename", "exprs")
dim(plot_long)

## [1] 30  3

plot_long <- merge(plot_long, fData(plot_monocyte), by.x = "gene", by.y = "row.names")
dim(plot_long)

## [1] 30 16

plot_long <- merge(plot_long, pData(plot_monocyte), by = "samplename")
dim(plot_long)

## [1] 30 97

library(ggplot2)

plot_2068_idx <- plot_long[["tubelabelorigin"]] == "su2068"
plot_2068 <- plot_long[plot_2068_idx, ]
plt <- ggplot(data = plot_2068, mapping = aes_string(x = "visitnumber", y = "exprs",
                                                 colour = "gene")) +
  geom_line() +
  theme(legend.position = "none")
plt

probably_not <- ggplotly_url(plt, "probably_terrible_su2068.html")

## Warning in ggplotly_url(plt, "probably_terrible_su2068.html"): No url df was
## provided, nor is there a column: url, not much to do.

plot_2073_idx <- plot_long[["tubelabelorigin"]] == "su2073"
plot_2073 <- plot_long[plot_2073_idx, ]
plt <- ggplot(data = plot_2073, mapping = aes_string(x = "visitnumber", y = "exprs",
                                                 colour = "gene")) +
  geom_line() +
  theme(legend.position = "none")
plt

probably_not <- ggplotly_url(plt, "images/probably_terrible_su2073.html")

## Warning in ggplotly_url(plt, "images/probably_terrible_su2073.html"): No url df
## was provided, nor is there a column: url, not much to do.

if (!isTRUE(get0("skip_load"))) {
  pander::pander(sessionInfo())
  message(paste0("This is hpgltools commit: ", get_git_commit()))
  message(paste0("Saving to ", savefile))
  tmp <- sm(saveme(filename = savefile))
}

## If you wish to reproduce this exact build of hpgltools, invoke the following:

## > git clone http://github.com/abelew/hpgltools.git

## > git reset 3866d0ef3d5bf766f01b092108ec06406921447c

## This is hpgltools commit: Mon Mar 22 15:33:04 2021 -0400: 3866d0ef3d5bf766f01b092108ec06406921447c

## Saving to tmrc3_02sample_estimation_v202103.rda.xz

tmp <- loadme(filename = savefile)