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.
## Create the expressionset and immediately pass it to a filter
## removing the non protein coding genes.
hs_expt <- sm(create_expt(samplesheet,
file_column = "hg38100hisatfile",
savefile = glue::glue("hs_expt_all-v{ver}.rda"),
gene_info = hs_annot)) %>%
exclude_genes_expt(column = "gene_biotype", method = "keep", pattern = "protein_coding")## Before removal, there were 21481 genes, now there are 19928.## There are 11 samples which kept less than 90 percent counts.## TMRC30015 TMRC30017 TMRC30019 TMRC30044 TMRC30045 TMRC30097 TMRC30075 TMRC30087
## 79.23 85.71 89.74 80.33 73.32 89.88 86.95 83.62
## TMRC30101 TMRC30104 TMRC30073
## 88.38 80.27 89.233.1.1.1 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: 80 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
## 52453 807962 3086807## There were 108, now there are 105 samples.## valid_write <- write_expt(hs_valid, excel = glue("excel/hs_valid-v{ver}.xlsx"))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 = "PCA - Cell type")
pp(file = glue("images/tmrc3_pca_nolabels-v{ver}.png"), image = all_pca$plot)
write.csv(all_pca$table, file = "coords/hs_donor_pca_coords.csv")
plot_corheat(all_norm, plot_title = "Heirarchical clustering - cell types")$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")
newnames <- pData(hs_valid)[["samplename"]]
hs_clinical <- hs_valid %>%
set_expt_conditions(fact = "clinicaloutcome") %>%
set_expt_batches(fact = "typeofcells") %>%
set_expt_colors(colors = chosen_colors) %>%
set_expt_samplenames(newnames = newnames) %>%
subset_expt(subset = "typeofcells!='PBMCs'&typeofcells!='Macrophages'")## There were 105, now there are 87 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, cis = NULL,
plot_title = "PCA - clinical samples")
pp(file = glue("images/all_clinical_nobatch_pca-v{ver}.png"), image = clinical_pca$plot,
height = 8, width = 20)
4.3.1 Repeat without the biopsy samples
hs_clinical_nobiop <- hs_clinical %>%
subset_expt(subset = "typeofcells!='Biopsy'")## There were 87, now there are 55 samples.hs_clinical_nobiop_norm <- sm(normalize_expt(hs_clinical_nobiop, filter = TRUE, transform = "log2",
convert = "cpm", norm = "quant"))
clinical_nobiop_pca <- plot_pca(hs_clinical_nobiop_norm, plot_labels = FALSE, cis = NULL,
plot_title = "PCA - clinical samples without biopsies")
pp(file = glue("images/all_clinical_nobiop_nobatch_pca-v{ver}.png"),
image = clinical_nobiop_pca$plot)
4.3.2 Attempt to correct for the surrogate variables
At this time we have two primary data structures of interest: hs_clinical and hs_clinical_nobiop
hs_clinical_nb <- normalize_expt(hs_clinical, filter = TRUE, batch = "svaseq",
transform = "log2", convert = "cpm")## Removing 5447 low-count genes (14481 remaining).## batch_counts: Before batch/surrogate estimation, 72754 entries are x==0: 6%.## batch_counts: Before batch/surrogate estimation, 220852 entries are 0<x<1: 18%.## Setting 14879 low elements to zero.## transform_counts: Found 14879 values equal to 0, adding 1 to the matrix.clinical_batch_pca <- plot_pca(hs_clinical_nb, plot_labels = FALSE, cis = NULL,
plot_title = "PCA - clinical samples")
clinical_batch_pca$plot
hs_clinical_nobiop_nb <- sm(normalize_expt(hs_clinical_nobiop, filter = TRUE, batch = "svaseq",
transform = "log2", convert = "cpm"))
clinical_nobiop_batch_pca <- plot_pca(hs_clinical_nobiop_nb,
plot_title = "PCA - clinical samples without biopsies",
plot_labels = FALSE)
pp(file = "images/clinical_batch.png", image = clinical_nobiop_batch_pca$plot)
clinical_nobiop_batch_tsne <- plot_tsne(hs_clinical_nobiop_nb,
plot_title = "tSNE - clinical samples without biopsies",
plot_labels = FALSE)
clinical_nobiop_batch_tsne$plot
test <- simple_varpart(hs_clinical_nobiop)## Loading required package: Matrix##
## Total:114 stest$partition_plot
4.4 Perform DE of the clinical samples cure vs. fail
individual_celltypes <- subset_expt(hs_clinical_nobiop, subset="condition!='lost'")## There were 55, now there are 40 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/individual_celltypes_table-v{ver}.xlsx")))hs_clinic_sig <- sm(extract_significant_genes(
hs_clinic_table,
excel = glue::glue("excel/individual_celltypes_sig-v{ver}.xlsx")))
hs_clinic_sig[["summary_df"]]## limma_change_counts_up limma_change_counts_down
## failure_vs_cure 230 367
## edger_change_counts_up edger_change_counts_down
## failure_vs_cure 346 322
## deseq_change_counts_up deseq_change_counts_down
## failure_vs_cure 289 371
## ebseq_change_counts_up ebseq_change_counts_down
## failure_vs_cure 84 268
## basic_change_counts_up basic_change_counts_down
## failure_vs_cure 55 694.4.1 Look at only the differential genes
A good suggestion from Theresa was to examine only the most variant genes from failure vs. cure and see how they change the clustering/etc results. This is my attempt to address this query.
hs_clinic_topn <- sm(extract_significant_genes(hs_clinic_table, n = 100))
table <- "failure_vs_cure"
wanted <- rbind(hs_clinic_topn[["deseq"]][["ups"]][[table]],
hs_clinic_topn[["deseq"]][["downs"]][[table]])
small_expt <- exclude_genes_expt(hs_clinical_nobiop, ids = rownames(wanted), method = "keep")## Before removal, there were 19928 genes, now there are 200.## There are 55 samples which kept less than 90 percent counts.## 1017n1 1017m1 1034n1 1034n2 1034m2 1034m2- 2052e1 2052m2 2052n2 2052m3
## 0.1411 0.2528 1.1255 1.3803 0.8180 0.8136 0.4077 0.4144 0.3048 0.5204
## 2052n3 2065m1 2065n1 2066m1 2066n1 2065m2 2065n2 2066m2 2068m1 2068n1
## 0.3257 0.8297 1.1489 0.3543 0.2048 0.6134 0.5543 0.5484 0.5715 0.5106
## 2068e1 2072m1 2072n1 2072e1 2073m1 2073n1 2073e1 2068m2 2068n2 2068e2
## 1.0353 0.5207 0.3949 0.6709 0.5844 0.7569 0.5832 0.2641 0.2736 0.3494
## 2072m2 2072n2 2072e2 2073m2 2073n2 2073e2 2068m3 2068n3 2068e3 2072m3
## 0.2883 0.2470 0.3758 0.7658 1.3503 0.4847 0.3717 0.3557 0.4353 0.5428
## 2072n3 2072e3 2073m3 2073n3 2073e3 2162m1 2162n1 2162e1 2168e1 2168m2
## 0.8865 0.5135 0.4432 0.3773 0.3162 0.4534 0.3588 0.6663 0.7561 0.7861
## 2168n2 2168e2 2168m3 2168n3 2168e3
## 1.2428 0.6528 0.8916 1.4268 0.7240small_norm <- sm(normalize_expt(small_expt, transform = "log2", convert = "cpm",
norm = "quant", filter = TRUE))
plot_pca(small_norm)$plot
small_nb <- normalize_expt(small_expt, transform = "log2", convert = "cpm",
batch = "svaseq", norm = "quant", filter = TRUE)## Warning in normalize_expt(small_expt, transform = "log2", convert = "cpm", :
## Quantile normalization and sva do not always play well together.## Removing 0 low-count genes (200 remaining).## batch_counts: Before batch/surrogate estimation, 0 entries are x==0: 0%.## batch_counts: Before batch/surrogate estimation, 131 entries are 0<x<1: 1%.## Setting 9 low elements to zero.## transform_counts: Found 9 values equal to 0, adding 1 to the matrix.plot_pca(small_nb)$plot
## DESeq2 MA plot of failure / cure
hs_clinic_table[["plots"]][["failure_vs_cure"]][["deseq_ma_plots"]]$plot
## DESeq2 Volcano plot of failure / cure
hs_clinic_table[["plots"]][["failure_vs_cure"]][["deseq_vol_plots"]]$plot
4.4.2 g:Profiler results using the significant up and down genes
ups <- hs_clinic_sig[["deseq"]][["ups"]][[1]]
downs <- hs_clinic_sig[["deseq"]][["downs"]][[1]]
hs_clinic_gprofiler_ups <- simple_gprofiler(ups)## Performing gProfiler GO search of 289 genes against hsapiens.## GO search found 22 hits.## Performing gProfiler KEGG search of 289 genes against hsapiens.## KEGG search found 2 hits.## Performing gProfiler REAC search of 289 genes against hsapiens.## REAC search found 6 hits.## Performing gProfiler MI search of 289 genes against hsapiens.## MI search found 0 hits.## Performing gProfiler TF search of 289 genes against hsapiens.## TF search found 28 hits.## Performing gProfiler CORUM search of 289 genes against hsapiens.## CORUM search found 0 hits.## Performing gProfiler HP search of 289 genes against hsapiens.## HP search found 0 hits.hs_clinic_gprofiler_ups[["pvalue_plots"]][["bpp_plot_over"]]
hs_clinic_gprofiler_ups[["pvalue_plots"]][["mfp_plot_over"]]
hs_clinic_gprofiler_ups[["pvalue_plots"]][["reactome_plot_over"]]
##hs_try2 <- simple_gprofiler2(ups)
hs_clinic_gprofiler_downs <- simple_gprofiler(downs)## Performing gProfiler GO search of 371 genes against hsapiens.## GO search found 62 hits.## Performing gProfiler KEGG search of 371 genes against hsapiens.## KEGG search found 4 hits.## Performing gProfiler REAC search of 371 genes against hsapiens.## REAC search found 4 hits.## Performing gProfiler MI search of 371 genes against hsapiens.## MI search found 0 hits.## Performing gProfiler TF search of 371 genes against hsapiens.## TF search found 21 hits.## Performing gProfiler CORUM search of 371 genes against hsapiens.## CORUM search found 3 hits.## Performing gProfiler HP search of 371 genes against hsapiens.## HP search found 6 hits.hs_clinic_gprofiler_downs[["pvalue_plots"]][["bpp_plot_over"]]
hs_clinic_gprofiler_downs[["pvalue_plots"]][["mfp_plot_over"]]
hs_clinic_gprofiler_downs[["pvalue_plots"]][["reactome_plot_over"]]
4.5 Perform GSVA on the clinical samples
hs_celltype_gsva_c2 <- sm(simple_gsva(individual_celltypes))
hs_celltype_gsva_c2_sig <- sm(get_sig_gsva_categories(
hs_celltype_gsva_c2,
excel = "excel/individual_celltypes_gsva_c2.xlsx"))broad_c7 <- GSEABase::getGmt("reference/msigdb/c7.all.v7.2.entrez.gmt",
collectionType = GSEABase::BroadCollection(category = "c7"),
geneIdType = GSEABase::EntrezIdentifier())
hs_celltype_gsva_c7 <- sm(simple_gsva(individual_celltypes, signatures = broad_c7,
msig_xml = "reference/msigdb_v7.2.xml", cores = 10))
hs_celltype_gsva_c7_sig <- sm(get_sig_gsva_categories(
hs_celltype_gsva_c7,
excel = "excel/individual_celltypes_gsva_c7.xlsx"))4.5.1 Print some plots of the GSVA outputs
## The raw heatmap of the C2 values
hs_celltype_gsva_c2_sig[["raw_plot"]]
## The 'significance' scores of the C2 values
hs_celltype_gsva_c2_sig[["score_plot"]]
## The subset of scores for categories deemed significantly different.
hs_celltype_gsva_c2_sig[["subset_plot"]]
## The raw heatmap of the C7 values
hs_celltype_gsva_c7_sig[["raw_plot"]]
## The 'significance' scores of the C7 values
hs_celltype_gsva_c7_sig[["score_plot"]]
## The subset of scores for categories deemed significantly different.
hs_celltype_gsva_c7_sig[["subset_plot"]]
5 Individual Cell types
The following blocks split the samples into a few groups by sample type and look at the distributions between them.
5.1 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.
5.2 Monocytes
5.2.1 Evaluate Monocyte samples
mono <- subset_expt(hs_valid, subset = "typeofcells=='Monocytes'") %>%
set_expt_conditions(fact = "clinicaloutcome") %>%
set_expt_batches(fact = "donor") %>%
set_expt_colors(colors = chosen_colors)## There were 105, now there are 21 samples.## FIXME set_expt_colors should speak up if there are mismatches here!!!
save_result <- save(mono, file = "rda/monocyte_expt.rda")
mono_norm <- normalize_expt(mono, convert = "cpm", filter = TRUE,
transform = "log2", norm = "quant")## Removing 8957 low-count genes (10971 remaining).## transform_counts: Found 9 values equal to 0, adding 1 to the matrix.plt <- plot_pca(mono_norm, plot_labels = FALSE)$plot
pp(file = glue("images/mono_pca_normalized-v{ver}.pdf"), image = plt)
mono_nb <- normalize_expt(mono, convert = "cpm", filter = TRUE,
transform = "log2", batch = "svaseq")## Removing 8957 low-count genes (10971 remaining).## batch_counts: Before batch/surrogate estimation, 1144 entries are x==0: 0%.## batch_counts: Before batch/surrogate estimation, 12712 entries are 0<x<1: 6%.## Setting 368 low elements to zero.## transform_counts: Found 368 values equal to 0, adding 1 to the matrix.plt <- plot_pca(mono_nb, plot_labels = FALSE)$plot
pp(file = glue("images/mono_pca_normalized_batch-v{ver}.pdf"), image = plt)
5.2.2 DE of Monocyte samples
5.2.2.1 Without sva
mono_de <- sm(all_pairwise(mono, model_batch = FALSE, filter = TRUE))mono_tables <- sm(combine_de_tables(
mono_de, keepers = keepers,
excel = glue::glue("excel/monocyte_clinical_all_tables-v{ver}.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.xlsxmono_sig <- sm(extract_significant_genes(mono_tables, according_to = "deseq"))
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.xlsxwritten <- 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.xlsxmono_pct_sig <- sm(extract_significant_genes(mono_tables, n = 200,
lfc = NULL, p = NULL, according_to = "deseq"))
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.xlsxwritten <- 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.xlsxmono_sig$summary_df## data frame with 0 columns and 1 row## Print out a table of the cpm values for other explorations.
mono_cpm <- sm(normalize_expt(mono, convert = "cpm"))
written <- write_xlsx(data = exprs(mono_cpm),
excel = glue::glue("excel/monocyte_cpm_before_batch-v{ver}.xlsx"))## Saving to: excel/monocyte_cpm_before_batch-v202103.xlsxmono_bcpm <- sm(normalize_expt(mono, filter = TRUE, convert = "cpm", batch = "svaseq"))
written <- write_xlsx(data = exprs(mono_bcpm),
excel = glue::glue("excel/monocyte_cpm_after_batch-v{ver}.xlsx"))## Saving to: excel/monocyte_cpm_after_batch-v202103.xlsx5.2.2.2 With sva
mono_de_sva <- sm(all_pairwise(mono, model_batch = "svaseq", filter = TRUE))mono_tables_sva <- sm(combine_de_tables(
mono_de_sva, keepers = keepers,
excel = glue::glue("excel/monocyte_clinical_all_tables_sva-v{ver}.xlsx")))mono_sig_sva <- sm(extract_significant_genes(
mono_tables_sva,
excel = glue::glue("excel/monocyte_clinical_sig_tables_sva-v{ver}.xlsx"),
according_to = "deseq"))5.2.2.3 Monocyte DE plots
First print out the DE plots without and then with sva estimates.
## DESeq2 MA plot of failure / cure
mono_tables[["plots"]][["fail_vs_cure"]][["deseq_ma_plots"]]$plot
## DESeq2 Volcano plot of failure / cure
mono_tables[["plots"]][["fail_vs_cure"]][["deseq_vol_plots"]]$plot
## DESeq2 MA plot of failure / cure with svaseq
mono_tables_sva[["plots"]][["fail_vs_cure"]][["deseq_ma_plots"]]$plot
## DESeq2 Volcano plot of failure / cure with svaseq
mono_tables_sva[["plots"]][["fail_vs_cure"]][["deseq_vol_plots"]]$plot
5.2.2.4 Monocyte ontology search
ups <- mono_sig[["deseq"]][["ups"]][["fail_vs_cure"]]
downs <- mono_sig[["deseq"]][["downs"]][["fail_vs_cure"]]
mono_up_gp <- simple_gprofiler(sig_genes = ups)## Performing gProfiler GO search of 148 genes against hsapiens.## GO search found 61 hits.## Performing gProfiler KEGG search of 148 genes against hsapiens.## KEGG search found 3 hits.## Performing gProfiler REAC search of 148 genes against hsapiens.## REAC search found 1 hits.## Performing gProfiler MI search of 148 genes against hsapiens.## MI search found 0 hits.## Performing gProfiler TF search of 148 genes against hsapiens.## TF search found 7 hits.## Performing gProfiler CORUM search of 148 genes against hsapiens.## CORUM search found 1 hits.## Performing gProfiler HP search of 148 genes against hsapiens.## HP search found 0 hits.mono_up_gp[["pvalue_plots"]][["bpp_plot_over"]]
mono_up_gp[["pvalue_plots"]][["mfp_plot_over"]]
mono_up_gp[["pvalue_plots"]][["reactome_plot_over"]]
mono_down_gp <- simple_gprofiler(sig_genes = downs)## Performing gProfiler GO search of 262 genes against hsapiens.## GO search found 53 hits.## Performing gProfiler KEGG search of 262 genes against hsapiens.## KEGG search found 0 hits.## Performing gProfiler REAC search of 262 genes against hsapiens.## REAC search found 1 hits.## Performing gProfiler MI search of 262 genes against hsapiens.## MI search found 0 hits.## Performing gProfiler TF search of 262 genes against hsapiens.## TF search found 32 hits.## Performing gProfiler CORUM search of 262 genes against hsapiens.## CORUM search found 2 hits.## Performing gProfiler HP search of 262 genes against hsapiens.## HP search found 0 hits.mono_down_gp[["pvalue_plots"]][["bpp_plot_over"]]
mono_down_gp[["pvalue_plots"]][["mfp_plot_over"]]## NULLmono_down_gp[["pvalue_plots"]][["reactome_plot_over"]]
5.2.2.5 Monocyte MSigDB query
broad_c7 <- GSEABase::getGmt("reference/msigdb/c7.all.v7.2.entrez.gmt",
collectionType = GSEABase::BroadCollection(category = "c7"),
geneIdType = GSEABase::EntrezIdentifier())
mono_up_goseq_msig <- goseq_msigdb(sig_genes = ups, signatures = broad_c7,
signature_category = "c7", length_db = hs_length)## Before conversion, the expressionset has 148 entries.## After conversion, the expressionset has 146 entries.## Before conversion, the expressionset has 227334 entries.## After conversion, the expressionset has 35326 entries.## Using the row names of your table.## Found 132 genes out of 146 from the sig_genes in the go_db.## Found 146 genes out of 146 from the sig_genes in the length_db.## Using manually entered categories.## Calculating the p-values...## simple_goseq(): Calculating q-values## simple_goseq(): Making pvalue plots for the ontologies.
mono_up_goseq_msig[["pvalue_plots"]][["mfp_plot_over"]]
mono_down_goseq_msig <- goseq_msigdb(sig_genes = downs, signatures = broad_c7,
signature_category = "c7", length_db = hs_length)## Before conversion, the expressionset has 262 entries.## After conversion, the expressionset has 258 entries.## Before conversion, the expressionset has 227334 entries.## After conversion, the expressionset has 35326 entries.## Using the row names of your table.## Found 249 genes out of 258 from the sig_genes in the go_db.## Found 258 genes out of 258 from the sig_genes in the length_db.## Using manually entered categories.## Calculating the p-values...## simple_goseq(): Calculating q-values## simple_goseq(): Making pvalue plots for the ontologies.
mono_down_goseq_msig[["pvalue_plots"]][["mfp_plot_over"]]
5.2.3 Evaluate Neutrophil samples
neut <- subset_expt(hs_valid, subset = "typeofcells=='Neutrophils'") %>%
set_expt_conditions(fact = "clinicaloutcome") %>%
set_expt_batches(fact = "donor") %>%
set_expt_colors(colors = chosen_colors)## There were 105, now there are 20 samples.save_result <- save(neut, file = "rda/neutrophil_expt.rda")
neut_norm <- sm(normalize_expt(neut, convert = "cpm", filter = TRUE, transform = "log2"))
plt <- plot_pca(neut_norm, plot_labels = FALSE)$plot
pp(file = glue("images/neut_pca_normalized-v{ver}.pdf"), image = plt)
neut_nb <- sm(normalize_expt(neut, convert = "cpm", filter = TRUE,
transform = "log2", batch = "svaseq"))
plt <- plot_pca(neut_nb, plot_labels = FALSE)$plot
pp(file = glue("images/neut_pca_normalized_svaseq-v{ver}.pdf"), image = plt)
5.2.4 DE of Netrophil samples
5.2.4.1 Without sva
neut_de <- sm(all_pairwise(neut, model_batch = FALSE, filter = TRUE))neut_tables <- sm(combine_de_tables(
neut_de, keepers = keepers,
excel = glue::glue("excel/neutrophil_clinical_all_tables-v{ver}.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.xlsxneut_sig <- sm(extract_significant_genes(neut_tables, according_to = "deseq"))
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.xlsxwritten <- 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.xlsxneut_pct_sig <- sm(extract_significant_genes(neut_tables, n = 200, lfc = NULL,
p = NULL, according_to = "deseq"))
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.xlsxwritten <- 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.xlsxneut_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.xlsxneut_bcpm <- sm(normalize_expt(neut, filter = TRUE, batch = "svaseq", 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.xlsx5.2.4.2 With sva
neut_de_sva <- sm(all_pairwise(neut, model_batch = "svaseq", filter = TRUE))neut_tables_sva <- sm(combine_de_tables(
neut_de_sva, keepers = keepers,
excel = glue::glue("excel/neutrophil_clinical_all_tables_sva-v{ver}.xlsx")))neut_sig_sva <- sm(extract_significant_genes(
neut_tables_sva,
excel = glue::glue("excel/neutrophil_clinical_sig_tables_sva-v{ver}.xlsx"),
according_to = "deseq"))5.2.4.3 Neutrophil DE plots
## DESeq2 MA plot of failure / cure
neut_tables[["plots"]][["fail_vs_cure"]][["deseq_ma_plots"]]$plot
## DESeq2 Volcano plot of failure / cure
neut_tables[["plots"]][["fail_vs_cure"]][["deseq_vol_plots"]]$plot
## DESeq2 MA plot of failure / cure with sva
neut_tables_sva[["plots"]][["fail_vs_cure"]][["deseq_ma_plots"]]$plot
## DESeq2 Volcano plot of failure / cure with sva
neut_tables_sva[["plots"]][["fail_vs_cure"]][["deseq_vol_plots"]]$plot
5.2.4.4 Neutrophil ontology search
ups <- neut_sig[["deseq"]][["ups"]][["fail_vs_cure"]]
downs <- neut_sig[["deseq"]][["downs"]][["fail_vs_cure"]]
neut_up_gp <- simple_gprofiler(sig_genes = ups)## Performing gProfiler GO search of 270 genes against hsapiens.## GO search found 5 hits.## Performing gProfiler KEGG search of 270 genes against hsapiens.## KEGG search found 3 hits.## Performing gProfiler REAC search of 270 genes against hsapiens.## REAC search found 36 hits.## Performing gProfiler MI search of 270 genes against hsapiens.## MI search found 0 hits.## Performing gProfiler TF search of 270 genes against hsapiens.## TF search found 41 hits.## Performing gProfiler CORUM search of 270 genes against hsapiens.## CORUM search found 6 hits.## Performing gProfiler HP search of 270 genes against hsapiens.## HP search found 0 hits.neut_up_gp[["pvalue_plots"]][["bpp_plot_over"]]
neut_up_gp[["pvalue_plots"]][["mfp_plot_over"]]
neut_up_gp[["pvalue_plots"]][["reactome_plot_over"]]
neut_down_gp <- simple_gprofiler(downs)## Performing gProfiler GO search of 260 genes against hsapiens.## GO search found 3 hits.## Performing gProfiler KEGG search of 260 genes against hsapiens.## KEGG search found 0 hits.## Performing gProfiler REAC search of 260 genes against hsapiens.## REAC search found 1 hits.## Performing gProfiler MI search of 260 genes against hsapiens.## MI search found 0 hits.## Performing gProfiler TF search of 260 genes against hsapiens.## TF search found 40 hits.## Performing gProfiler CORUM search of 260 genes against hsapiens.## CORUM search found 0 hits.## Performing gProfiler HP search of 260 genes against hsapiens.## HP search found 2 hits.neut_down_gp[["pvalue_plots"]][["bpp_plot_over"]]
neut_down_gp[["pvalue_plots"]][["mfp_plot_over"]]## NULLneut_down_gp[["pvalue_plots"]][["reactome_plot_over"]]
5.2.4.5 Neutrophil GSVA query
neut_up_goseq_msig <- goseq_msigdb(sig_genes = ups, signatures = broad_c7,
signature_category = "c7", length_db = hs_length)## Before conversion, the expressionset has 270 entries.## After conversion, the expressionset has 266 entries.## Before conversion, the expressionset has 227334 entries.## After conversion, the expressionset has 35326 entries.## Using the row names of your table.## Found 251 genes out of 266 from the sig_genes in the go_db.## Found 266 genes out of 266 from the sig_genes in the length_db.## Using manually entered categories.## Calculating the p-values...## simple_goseq(): Calculating q-values## simple_goseq(): Making pvalue plots for the ontologies.
neut_up_goseq_msig[["pvalue_plots"]][["mfp_plot_over"]]
neut_down_goseq_msig <- goseq_msigdb(sig_genes = downs, signatures = broad_c7,
signature_category = "c7", length_db = hs_length)## Before conversion, the expressionset has 260 entries.## After conversion, the expressionset has 255 entries.## Before conversion, the expressionset has 227334 entries.## After conversion, the expressionset has 35326 entries.## Using the row names of your table.## Found 247 genes out of 255 from the sig_genes in the go_db.## Found 255 genes out of 255 from the sig_genes in the length_db.## Using manually entered categories.## Calculating the p-values...## simple_goseq(): Calculating q-values## simple_goseq(): Making pvalue plots for the ontologies.
neut_down_goseq_msig[["pvalue_plots"]][["mfp_plot_over"]]
5.3 Eosinophils
5.3.1 Evaluate Eosinophil samples
eo <- subset_expt(hs_valid, subset = "typeofcells=='Eosinophils'") %>%
set_expt_conditions(fact = "clinicaloutcome") %>%
set_expt_batches(fact = "donor") %>%
set_expt_colors(colors = chosen_colors)## There were 105, now there are 14 samples.save_result <- save(eo, file = "rda/eosinophil_expt.rda")
eo_norm <- sm(normalize_expt(eo, convert = "cpm", transform = "log2",
norm = "quant", filter = TRUE))
plt <- plot_pca(eo_norm, plot_labels = FALSE)$plot
pp(file = glue("images/eo_pca_normalized-v{ver}.pdf"), image = plt)
eo_nb <- sm(normalize_expt(eo, convert = "cpm", transform = "log2",
filter = TRUE, batch = "svaseq"))
plot_pca(eo_nb)$plot
5.3.2 DE of Eosinophil samples
5.3.2.1 Withouth sva
eo_de <- sm(all_pairwise(eo, model_batch = FALSE, filter = TRUE))eo_tables <- sm(combine_de_tables(
eo_de, keepers = keepers,
excel = glue::glue("excel/eosinophil_clinical_all_tables-v{ver}.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.xlsxeo_sig <- sm(extract_significant_genes(eo_tables, according_to = "deseq"))
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.xlsxwritten <- 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.xlsxeo_pct_sig <- sm(extract_significant_genes(eo_tables, n = 200,
lfc = NULL, p = NULL, according_to = "deseq"))
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.xlsxwritten <- 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.xlsxeo_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.xlsxeo_bcpm <- sm(normalize_expt(eo, filter = TRUE, batch = "svaseq", 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.xlsx5.3.2.2 With sva
eo_de_sva <- sm(all_pairwise(eo, model_batch = "svaseq", filter = TRUE))eo_tables_sva <- sm(combine_de_tables(
eo_de_sva, keepers = keepers,
excel = glue::glue("excel/eosinophil_clinical_all_tables_sva-v{ver}.xlsx")))eo_sig_sva <- sm(extract_significant_genes(
eo_tables_sva,
excel = glue::glue("excel/eosinophil_clinical_sig_tables_sva-v{ver}.xlsx"),
according_to = "deseq"))5.3.2.3 Eosinophil DE plots
## DESeq2 MA plot of failure / cure
eo_tables[["plots"]][["fail_vs_cure"]][["deseq_ma_plots"]]$plot
## DESeq2 Volcano plot of failure / cure
eo_tables[["plots"]][["fail_vs_cure"]][["deseq_vol_plots"]]$plot
## DESeq2 MA plot of failure / cure with sva
eo_tables_sva[["plots"]][["fail_vs_cure"]][["deseq_ma_plots"]]$plot
## DESeq2 Volcano plot of failure / cure with sva
eo_tables_sva[["plots"]][["fail_vs_cure"]][["deseq_vol_plots"]]$plot
5.3.2.4 Eosinophil ontology search
ups <- eo_sig[["deseq"]][["ups"]][["fail_vs_cure"]]
downs <- eo_sig[["deseq"]][["downs"]][["fail_vs_cure"]]
eo_up_gp <- simple_gprofiler(sig_genes = ups)## Performing gProfiler GO search of 211 genes against hsapiens.## GO search found 53 hits.## Performing gProfiler KEGG search of 211 genes against hsapiens.## KEGG search found 8 hits.## Performing gProfiler REAC search of 211 genes against hsapiens.## REAC search found 5 hits.## Performing gProfiler MI search of 211 genes against hsapiens.## MI search found 0 hits.## Performing gProfiler TF search of 211 genes against hsapiens.## TF search found 44 hits.## Performing gProfiler CORUM search of 211 genes against hsapiens.## CORUM search found 1 hits.## Performing gProfiler HP search of 211 genes against hsapiens.## HP search found 1 hits.eo_up_gp[["pvalue_plots"]][["bpp_plot_over"]]
eo_up_gp[["pvalue_plots"]][["mfp_plot_over"]]
eo_up_gp[["pvalue_plots"]][["reactome_plot_over"]]
eo_down_gp <- simple_gprofiler(downs)## Performing gProfiler GO search of 154 genes against hsapiens.## GO search found 1 hits.## Performing gProfiler KEGG search of 154 genes against hsapiens.## KEGG search found 1 hits.## Performing gProfiler REAC search of 154 genes against hsapiens.## REAC search found 0 hits.## Performing gProfiler MI search of 154 genes against hsapiens.## MI search found 0 hits.## Performing gProfiler TF search of 154 genes against hsapiens.## TF search found 0 hits.## Performing gProfiler CORUM search of 154 genes against hsapiens.## CORUM search found 0 hits.## Performing gProfiler HP search of 154 genes against hsapiens.## HP search found 0 hits.eo_down_gp[["pvalue_plots"]][["bpp_plot_over"]]
eo_down_gp[["pvalue_plots"]][["mfp_plot_over"]]## NULLeo_down_gp[["pvalue_plots"]][["reactome_plot_over"]]## NULL5.3.2.5 Eosinophil MSigDB query
eo_up_goseq_msig <- goseq_msigdb(sig_genes = ups, signatures = broad_c7,
signature_category = "c7", length_db = hs_length)## Before conversion, the expressionset has 211 entries.## After conversion, the expressionset has 210 entries.## Before conversion, the expressionset has 227334 entries.## After conversion, the expressionset has 35326 entries.## Using the row names of your table.## Found 183 genes out of 210 from the sig_genes in the go_db.## Found 210 genes out of 210 from the sig_genes in the length_db.## Using manually entered categories.## Calculating the p-values...## simple_goseq(): Calculating q-values## simple_goseq(): Making pvalue plots for the ontologies.
eo_up_goseq_msig[["pvalue_plots"]][["mfp_plot_over"]]
eo_down_goseq_msig <- goseq_msigdb(sig_genes = downs, signatures = broad_c7,
signature_category = "c7", length_db = hs_length)## Before conversion, the expressionset has 154 entries.## After conversion, the expressionset has 152 entries.## Before conversion, the expressionset has 227334 entries.## After conversion, the expressionset has 35326 entries.## Using the row names of your table.## Found 139 genes out of 152 from the sig_genes in the go_db.## Found 152 genes out of 152 from the sig_genes in the length_db.## Using manually entered categories.## Calculating the p-values...## simple_goseq(): Calculating q-values## simple_goseq(): Making pvalue plots for the ontologies.
eo_down_goseq_msig[["pvalue_plots"]][["mfp_plot_over"]]
5.4 Biopsies
5.4.1 Evaluate Biopsy samples
biop <- subset_expt(hs_valid, subset = "typeofcells=='Biopsy'") %>%
set_expt_conditions(fact = "clinicaloutcome") %>%
set_expt_batches(fact = "donor") %>%
set_expt_colors(colors = chosen_colors)## There were 105, now there are 32 samples.save_result <- save(biop, file = "rda/biopsy_expt.rda")
biop_norm <- normalize_expt(biop, filter = TRUE, convert = "cpm",
transform = "log2", norm = "quant")## Removing 5940 low-count genes (13988 remaining).## transform_counts: Found 5 values equal to 0, adding 1 to the matrix.plt <- plot_pca(biop_norm, plot_labels = FALSE)$plot
pp(file = glue("images/biop_pca_normalized-v{ver}.pdf"), image = plt)
biop_nb <- sm(normalize_expt(biop, convert = "cpm", filter = TRUE,
transform = "log2", batch = "svaseq"))
plt <- plot_pca(biop_nb, plot_labels = FALSE)$plot
pp(file = glue("images/biop_pca_normalized_svaseq-v{ver}.pdf"), image = plt)
5.4.2 DE of Biopsy samples
5.4.2.1 Without sva
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.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.xlsxbiop_sig <- extract_significant_genes(biop_tables, according_to = "deseq")
##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.xlsxbiop_pct_sig <- extract_significant_genes(biop_tables, n = 200, lfc = NULL, p = NULL, according_to = "deseq")## Getting the top and bottom 200 genes.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.xlsxwritten <- 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.xlsxbiop_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.xlsxbiop_bcpm <- sm(normalize_expt(biop, filter = TRUE, batch = "svaseq", 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.xlsx5.4.2.2 with sva
biop_de_sva <- sm(all_pairwise(biop, model_batch = "svaseq", filter = TRUE))biop_tables_sva <- sm(combine_de_tables(
biop_de_sva, keepers = keepers,
excel = glue::glue("excel/biopsy_clinical_all_tables_sva-v{ver}.xlsx")))biop_sig_sva <- sm(extract_significant_genes(
biop_tables_sva,
excel = glue::glue("excel/biopsy_clinical_sig_tables_sva-v{ver}.xlsx"),
according_to = "deseq"))5.4.2.3 Biopsy DE plots
## DESeq2 MA plot of failure / cure
biopsy_tables[["plots"]][["fail_vs_cure"]][["deseq_ma_plots"]]$plot## Error in eval(expr, envir, enclos): object 'biopsy_tables' not found## DESeq2 Volcano plot of failure / cure
biopsy_tables[["plots"]][["fail_vs_cure"]][["deseq_vol_plots"]]$plot## Error in eval(expr, envir, enclos): object 'biopsy_tables' not found## DESeq2 MA plot of failure / cure
biopsy_tables_sva[["plots"]][["fail_vs_cure"]][["deseq_ma_plots"]]$plot## Error in eval(expr, envir, enclos): object 'biopsy_tables_sva' not found## DESeq2 Volcano plot of failure / cure
biopsy_tables_sva[["plots"]][["fail_vs_cure"]][["deseq_vol_plots"]]$plot## Error in eval(expr, envir, enclos): object 'biopsy_tables_sva' not found5.5 Separate macrophage experiment
These samples are rather different from all of the others. The following section is therefore written primarily in response to a separate set of emails from Olga and Maria Adelaida; here is a snippet:
Dear all, about the samples corresponding to infected macrophages with three sensitive (2.2) and three resistant (2.3) clinical strains of L. (V.) panamensis, I send you the results of parasite burden by detection of 7SLRNA. I think these results are interesting, but the sample size is very small. Doctor Najib or Trey could you please send me the quality data and PCA analysis of these samples?
and
Hi Doctor, thank you. These samples corresponding to primary macrophages infected with clinical strains 2.2 (n = 3) and 2.3 (n = 3). These information is in the file: TMRC project 3: excel Host TMRC3 v1.1, rows 137 to 150.
Thus I added 3 columns to the end of the sample sheet which seek to include this information. The first is ‘drug’ and encodes both the infection state (no for the two controls and yes for everything else), the second is zymodeme which I took from the tmrc2 sample sheet, the last is drug, which is either no or sb.
macr <- subset_expt(hs_valid, subset = "typeofcells=='Macrophages'")## There were 105, now there are 12 samples.macr <- set_expt_conditions(macr, fact = "zymodeme")
macr <- set_expt_batches(macr, fact = "macrdrug")
macr_norm <- normalize_expt(macr, norm = "quant", convert = "cpm", filter = TRUE)## Removing 8899 low-count genes (11029 remaining).macr_norm <- normalize_expt(macr_norm, transform = "log2")
plt <- plot_pca(macr_norm, plot_labels = FALSE)$plot
pp(file = glue("images/macrophage_side_experiment_norm_pca-v{ver}.pdf"), image = plt)
plt
macr_nb <- normalize_expt(macr, filter = TRUE)## Removing 8899 low-count genes (11029 remaining).macr_nb <- normalize_expt(macr_nb, norm = "quant", convert = "cpm", transform = "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##
## Total:114 s## 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##
## Total:71 s## Writing the median reads by factor.
zymo_de <- all_pairwise(macr, model_batch = FALSE, filter = TRUE)## Plotting a PCA before surrogate/batch inclusion.## Assuming no batch in model for testing pca.## 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.
5.5.1 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")## Removing 8899 low-count genes (11029 remaining).macr_v2_norm <- normalize_expt(macr_v2_norm, transform = "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.## Using limma's removeBatchEffect to visualize with(out) batch inclusion.## 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.xlsxolga_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.xlsxolga_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.xlsxolga_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.xlsxolga_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.xlsxolga_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.xlsx5.6 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")## Removing 4889 low-count genes (15039 remaining).## transform_counts: Found 82 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.## 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
## Warning in MASS::cov.trob(data[, vars]): Probable convergence failure
## Warning in MASS::cov.trob(data[, vars]): Probable convergence failure
5.7 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'")## 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 | -0.5218 | 0.3678 | -0.5218 | 0.3678 | 0.3820 | -0.1944 | 0.4920 |
| 1010-7 | 1010-7 | PBMCs | H. sapiens | 1 | #1B9E77 | 1010-7 | 0.1079 | 0.4854 | 0.1079 | 0.4854 | -0.5377 | 0.5431 | 0.0449 |
| 1010-12 | 1010-12 | PBMCs | H. sapiens | 1 | #1B9E77 | 1010-12 | 0.4706 | 0.3590 | 0.4706 | 0.3590 | 0.3162 | -0.3669 | -0.4984 |
| 1011-2 | 1011-2 | PBMCs | H. sapiens | 1 | #1B9E77 | 1011-2 | -0.5452 | -0.3253 | -0.5452 | -0.3253 | -0.3798 | -0.2445 | -0.4756 |
| 1011-7 | 1011-7 | PBMCs | H. sapiens | 1 | #1B9E77 | 1011-7 | 0.0469 | -0.4685 | 0.0469 | -0.4685 | 0.4948 | 0.5995 | -0.0862 |
| 1011-12 | 1011-12 | PBMCs | H. sapiens | 1 | #1B9E77 | 1011-12 | 0.4417 | -0.4183 | 0.4417 | -0.4183 | -0.2755 | -0.3368 | 0.5233 |
write.csv(q1_pca$table, file = "coords/q1_pca_coords.csv")
## Looks like PC1 == Time and PC2 is donor, and they have pretty much the same amount of variance
hs_time <- set_expt_conditions(hs_q1, fact = "time")
time_norm <- sm(normalize_expt(hs_time, filter = TRUE))
time_norm <- normalize_expt(time_norm, transform = "log2")## transform_counts: Found 21 values equal to 0, adding 1 to the matrix.## Get a set of genes with high PC loads for PC1(time), and PC2(donor):
high_scores <- pca_highscores(time_norm, n = 40)
time_stuff <- high_scores$highest[, c(1, 2)]
time_stuff## Comp.1 Comp.2
## [1,] "34.47:ENSG00000129824" "11.18:ENSG00000073756"
## [2,] "34.4:ENSG00000012817" "8.806:ENSG00000125538"
## [3,] "30.72:ENSG00000067048" "8.515:ENSG00000093134"
## [4,] "27.17:ENSG00000114374" "7.41:ENSG00000112299"
## [5,] "26.06:ENSG00000198692" "6.848:ENSG00000168329"
## [6,] "24.77:ENSG00000067646" "6.815:ENSG00000012817"
## [7,] "22.01:ENSG00000099725" "6.657:ENSG00000143365"
## [8,] "15.41:ENSG00000241945" "6.231:ENSG00000123700"
## [9,] "14.24:ENSG00000112139" "6.224:ENSG00000140092"
## [10,] "13.89:ENSG00000160201" "6.114:ENSG00000143450"
## [11,] "13.56:ENSG00000183878" "5.851:ENSG00000081041"
## [12,] "12.46:ENSG00000144115" "5.806:ENSG00000126243"
## [13,] "12.22:ENSG00000080007" "5.584:ENSG00000263002"
## [14,] "12.14:ENSG00000049247" "5.563:ENSG00000123975"
## [15,] "11.95:ENSG00000204001" "5.462:ENSG00000171860"
## [16,] "11.66:ENSG00000248905" "5.447:ENSG00000163568"
## [17,] "10.98:ENSG00000075391" "5.423:ENSG00000180626"
## [18,] "10.58:ENSG00000198848" "5.399:ENSG00000198435"
## [19,] "9.471:ENSG00000154620" "5.389:ENSG00000125703"
## [20,] "8.654:ENSG00000129422" "5.375:ENSG00000171115"
## [21,] "8.03:ENSG00000131459" "5.291:ENSG00000162739"
## [22,] "7.825:ENSG00000168874" "5.288:ENSG00000133574"
## [23,] "7.498:ENSG00000196436" "5.282:ENSG00000129824"
## [24,] "7.219:ENSG00000109321" "5.19:ENSG00000188886"
## [25,] "7.147:ENSG00000107731" "5.141:ENSG00000250510"
## [26,] "7.112:ENSG00000186193" "5.092:ENSG00000185220"
## [27,] "6.866:ENSG00000214102" "4.987:ENSG00000106351"
## [28,] "6.857:ENSG00000134531" "4.962:ENSG00000282804"
## [29,] "6.73:ENSG00000177990" "4.956:ENSG00000163563"
## [30,] "6.699:ENSG00000179915" "4.916:ENSG00000164011"
## [31,] "6.585:ENSG00000136848" "4.908:ENSG00000164530"
## [32,] "6.567:ENSG00000276085" "4.889:ENSG00000121797"
## [33,] "6.317:ENSG00000004809" "4.84:ENSG00000163508"
## [34,] "6.215:ENSG00000144130" "4.826:ENSG00000165181"
## [35,] "6.215:ENSG00000171451" "4.706:ENSG00000168310"
## [36,] "6.207:ENSG00000169507" "4.665:ENSG00000138061"
## [37,] "6.116:ENSG00000168765" "4.663:ENSG00000091106"
## [38,] "6.097:ENSG00000160307" "4.648:ENSG00000213694"
## [39,] "6.041:ENSG00000169071" "4.641:ENSG00000161298"
## [40,] "5.927:ENSG00000197134" "4.633:ENSG00000197044"## Column 1 should be winners vs. time and column 2 by donor.
time_genes <- gsub(x = time_stuff[, "Comp.1"], pattern = "^.*:(.*)$", replacement = "\\1")
head(time_genes)## [1] "ENSG00000129824" "ENSG00000012817" "ENSG00000067048" "ENSG00000114374"
## [5] "ENSG00000198692" "ENSG00000067646"time_subset <- exprs(time_norm)[time_genes, ]
plot_sample_heatmap(time_norm, row_label = rownames(time_norm))
hs_donor <- set_expt_conditions(hs_q1, fact = "donor")
donor_norm <- sm(normalize_expt(hs_donor, convert = "cpm", filter = TRUE))
donor_norm <- normalize_expt(donor_norm, transform = "log2")## transform_counts: Found 21 values equal to 0, adding 1 to the matrix.## Get a set of genes with high PC loads for PC1(donor), and PC2(donor):
high_scores <- pca_highscores(donor_norm, n = 40)
donor_stuff <- high_scores$highest[, c(1, 2)]
donor_stuff## Comp.1 Comp.2
## [1,] "11.76:ENSG00000073756" "27.69:ENSG00000129824"
## [2,] "9.371:ENSG00000125538" "25.06:ENSG00000012817"
## [3,] "9.104:ENSG00000106565" "24.87:ENSG00000067048"
## [4,] "8.987:ENSG00000176092" "21.81:ENSG00000114374"
## [5,] "8.124:ENSG00000093134" "19.73:ENSG00000099725"
## [6,] "7.922:ENSG00000168329" "16.12:ENSG00000198692"
## [7,] "7.225:ENSG00000185736" "15.76:ENSG00000067646"
## [8,] "6.558:ENSG00000111728" "13.52:ENSG00000183878"
## [9,] "6.204:ENSG00000125618" "11.32:ENSG00000112139"
## [10,] "6.166:ENSG00000106351" "10.31:ENSG00000248905"
## [11,] "6.018:ENSG00000002933" "10.19:ENSG00000075391"
## [12,] "6.014:ENSG00000111863" "9.597:ENSG00000198848"
## [13,] "5.993:ENSG00000112299" "9.343:ENSG00000049247"
## [14,] "5.96:ENSG00000127954" "8.426:ENSG00000109321"
## [15,] "5.87:ENSG00000160185" "8.374:ENSG00000276085"
## [16,] "5.85:ENSG00000008517" "8.101:ENSG00000129422"
## [17,] "5.746:ENSG00000165617" "7.123:ENSG00000241945"
## [18,] "5.674:ENSG00000133574" "7.107:ENSG00000144115"
## [19,] "5.666:ENSG00000127585" "6.5:ENSG00000137959"
## [20,] "5.611:ENSG00000171051" "6.134:ENSG00000171860"
## [21,] "5.599:ENSG00000165272" "6.029:ENSG00000171451"
## [22,] "5.59:ENSG00000164530" "5.863:ENSG00000101916"
## [23,] "5.486:ENSG00000131747" "5.748:ENSG00000196209"
## [24,] "5.385:ENSG00000126243" "5.703:ENSG00000093217"
## [25,] "5.299:ENSG00000162739" "5.693:ENSG00000112299"
## [26,] "5.209:ENSG00000143167" "5.673:ENSG00000073756"
## [27,] "5.191:ENSG00000123358" "5.668:ENSG00000090382"
## [28,] "5.178:ENSG00000113070" "5.607:ENSG00000088827"
## [29,] "5.163:ENSG00000168280" "5.499:ENSG00000138829"
## [30,] "5.152:ENSG00000124216" "5.458:ENSG00000131459"
## [31,] "5.106:ENSG00000196329" "5.458:ENSG00000004799"
## [32,] "5.085:ENSG00000165899" "5.42:ENSG00000168765"
## [33,] "5.069:ENSG00000261150" "5.419:ENSG00000179344"
## [34,] "5.048:ENSG00000100721" "5.41:ENSG00000154620"
## [35,] "5.041:ENSG00000203972" "5.385:ENSG00000122025"
## [36,] "5.027:ENSG00000171848" "5.321:ENSG00000123700"
## [37,] "4.998:ENSG00000119640" "5.258:ENSG00000163563"
## [38,] "4.995:ENSG00000107317" "5.18:ENSG00000204001"
## [39,] "4.989:ENSG00000177301" "5.123:ENSG00000160307"
## [40,] "4.985:ENSG00000036448" "5.115:ENSG00000080007"## Column 1 should be winners vs. donor and column 2 by donor.
donor_genes <- gsub(x = donor_stuff[, "Comp.1"], pattern = "^.*:(.*)$", replacement = "\\1")
head(donor_genes)## [1] "ENSG00000073756" "ENSG00000125538" "ENSG00000106565" "ENSG00000176092"
## [5] "ENSG00000093134" "ENSG00000168329"donor_subset <- exprs(donor_norm)[donor_genes, ]
plot_sample_heatmap(donor_norm, row_label = rownames(donor_norm))
time_keepers <- list(
"2hr_vs_7hr" = c("t2hr", "t7hr"),
"2hr_vs_12hr" = c("t2hr", "t12hr"),
"7hr_vs_12hr" = c("t7hr", "t12hr"))
q1_time <- set_expt_conditions(hs_q1, fact = "time")
time_de <- sm(all_pairwise(q1_time, model_batch = FALSE, parallel = FALSE))time_all_tables <- sm(combine_de_tables(time_de,
excel = glue::glue("excel/time_de_tables-v{ver}.xlsx")))save_result <- save(time_all_tables, file = "rda/time_all_tables.rda")
time_all_tables_all <- sm(combine_de_tables(
time_de,
keepers = "all",
excel = glue::glue("excel/time_de_all_tables-v{ver}.xlsx")))time_all_tables <- sm(combine_de_tables(
time_de,
keepers = time_keepers,
excel = glue::glue("excel/{rundate}-time_de_tables-v{ver}.xlsx")))q1_donor <- set_expt_conditions(hs_q1, fact = "donor")
donor_de <- sm(all_pairwise(q1_donor, model_batch = FALSE))
donor_tables <- sm(combine_de_tables(
donor_de, excel = glue::glue("excel/donor_de_tables-v{ver}.xlsx")))save_result <- save(donor_tables, file = "rda/donor_tables.rda")hs_q2 <- subset_expt(hs_valid, subset = "donor!='d1010'&donor!='d1011'")## There were 105, now there are 99 samples.q2_norm <- sm(normalize_expt(hs_q2, transform = "log2", convert = "cpm", norm = "quant", filter = TRUE))
q2_pca <- plot_pca(q2_norm)
knitr::kable(q2_pca$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 | -0.1213 | 0.1155 | -0.1213 | 0.1155 | -0.1163 | 0.0357 | 0.0776 | 0.0084 | 0.0934 | -0.0171 | 0.2541 | -0.0118 | 0.0587 | -0.0229 | 0.1149 | -0.2953 | 0.1485 | -0.0642 | 0.1430 | -0.1376 | 0.0654 | 0.0765 | 0.3095 | -0.2626 | -0.2468 | 0.3550 | 0.2141 | -0.0342 | 0.1772 | -0.2559 | 0.1078 | -0.0579 | 0.2849 | -0.0556 | 0.1770 | -0.0783 | 0.0343 | -0.0286 | 0.0387 | 0.0017 | -0.0934 | 0.0906 | 0.0105 | -0.0465 | -0.0017 | -0.0721 | 0.0425 | 0.0118 | 0.0659 | -0.0596 | -0.0267 | -0.0448 | 0.0048 | 0.0047 | 0.0088 | 0.0781 | -0.0298 | -0.0155 | -0.0341 | -0.0383 | 0.0195 | 0.0033 | 0.0275 | 0.0011 | 0.0091 | 0.0224 | -0.0150 | -0.0095 | -0.0155 | -0.0243 | -0.0001 | -0.0013 | 0.0069 | 0.0031 | 0.0118 | 0.0093 | 0.0027 | 0.0140 | 0.0139 | 0.0034 | -0.0062 | -0.0084 | -0.0184 | -0.0011 | -0.0029 | -0.0122 | 0.0046 | 0.0113 | 0.0025 | 0.0002 | 0.0011 | 0.0039 | 0.0037 | 0.0020 | -0.0008 | -0.0020 | -0.0009 | -0.0016 | -0.0021 | -0.0012 |
| 1017m1 | 1017m1 | Monocytes | H. sapiens | 1 | #7570B3 | 1017m1 | -0.0351 | -0.0998 | -0.0351 | -0.0998 | 0.0003 | -0.1342 | 0.1015 | 0.0322 | 0.1487 | -0.1394 | 0.2204 | -0.0015 | 0.1398 | -0.0651 | 0.0108 | -0.0402 | 0.0545 | -0.0257 | 0.0251 | -0.0231 | -0.0428 | -0.0722 | -0.1981 | 0.0471 | 0.0311 | 0.1162 | -0.0275 | -0.0564 | -0.1236 | 0.0262 | 0.0666 | 0.0652 | 0.0816 | -0.0047 | -0.0707 | -0.1349 | 0.0959 | 0.0080 | 0.1115 | 0.0205 | 0.0870 | -0.0295 | 0.0037 | -0.0068 | 0.0488 | 0.0127 | 0.0046 | 0.0959 | -0.0164 | 0.0760 | -0.0612 | 0.0717 | -0.3394 | -0.3702 | -0.1643 | -0.1934 | 0.0047 | 0.2842 | 0.0271 | 0.2178 | -0.0729 | -0.0266 | -0.2485 | -0.1588 | 0.0109 | -0.1773 | 0.0331 | -0.0474 | 0.0416 | 0.0337 | 0.0211 | -0.0720 | -0.0210 | -0.0269 | -0.0253 | -0.1213 | -0.0037 | -0.0522 | -0.0256 | 0.0226 | 0.1096 | 0.0542 | 0.0232 | -0.0791 | -0.0086 | 0.0403 | -0.0539 | 0.0893 | 0.0563 | 0.0031 | -0.0261 | -0.0472 | -0.0763 | 0.0040 | 0.0069 | -0.0020 | 0.0300 | 0.0085 | 0.0209 | 0.0091 |
| 1034n1 | 1034n1 | Neutrophils | H. sapiens | 1 | #D95F02 | 1034n1 | -0.1232 | 0.1104 | -0.1232 | 0.1104 | -0.1115 | 0.0387 | 0.0176 | 0.0298 | 0.0866 | -0.1827 | 0.1153 | 0.0306 | -0.1799 | -0.1048 | 0.2052 | -0.0717 | 0.0069 | -0.1485 | 0.0331 | -0.0527 | 0.0137 | -0.0674 | 0.1684 | 0.0647 | -0.0817 | -0.1984 | -0.0719 | 0.0398 | 0.1062 | -0.1465 | -0.0864 | -0.1136 | -0.2148 | 0.1555 | -0.0917 | 0.1943 | -0.1676 | -0.1233 | -0.0479 | -0.0995 | 0.1932 | 0.0697 | 0.0445 | 0.2551 | 0.2021 | 0.3906 | 0.0877 | 0.1354 | -0.1531 | 0.2265 | 0.0002 | 0.0153 | -0.0192 | -0.1428 | 0.0924 | 0.0437 | -0.0192 | -0.0825 | -0.0595 | 0.0132 | -0.0199 | -0.0241 | -0.0617 | 0.0429 | 0.0131 | 0.0254 | 0.0241 | -0.0297 | -0.0188 | 0.0028 | 0.0000 | -0.0539 | 0.0289 | -0.0090 | -0.0053 | 0.0034 | 0.0041 | 0.0204 | -0.0226 | -0.0022 | 0.0072 | 0.0146 | -0.0058 | -0.0036 | -0.0052 | -0.0079 | -0.0068 | -0.0073 | -0.0017 | 0.0027 | 0.0042 | -0.0005 | 0.0010 | -0.0085 | -0.0042 | 0.0040 | -0.0032 | -0.0004 | -0.0030 | -0.0035 |
| 1034bp1 | 1034bp1 | Biopsy | H. sapiens | 1 | #E7298A | 1034bp1 | 0.1241 | 0.0430 | 0.1241 | 0.0430 | 0.0048 | -0.0384 | -0.2183 | -0.0121 | -0.0599 | -0.1022 | 0.1448 | 0.1276 | 0.0142 | -0.0197 | -0.0815 | 0.0504 | 0.0385 | -0.1111 | -0.1208 | -0.0878 | -0.0534 | 0.0394 | -0.0368 | -0.0722 | -0.0094 | -0.0281 | -0.0274 | -0.0389 | 0.0307 | 0.0722 | 0.1371 | 0.0516 | -0.0318 | -0.0219 | 0.0528 | 0.1038 | 0.0098 | -0.0532 | -0.0741 | 0.0944 | -0.1465 | 0.0237 | -0.0645 | 0.1186 | -0.1084 | -0.0240 | 0.0905 | -0.0147 | -0.0446 | 0.0371 | 0.0387 | -0.1223 | 0.2883 | -0.1104 | 0.0585 | 0.1039 | 0.0926 | 0.2529 | -0.2447 | 0.0149 | 0.0395 | 0.2673 | -0.1620 | 0.0419 | -0.2972 | -0.0226 | -0.1740 | -0.0105 | 0.2090 | 0.1147 | 0.3267 | 0.0934 | 0.0578 | 0.0484 | 0.0770 | 0.0035 | -0.0888 | 0.0416 | -0.0417 | 0.0393 | 0.0474 | -0.0411 | 0.0192 | 0.0123 | 0.0216 | -0.0260 | -0.0417 | -0.0166 | 0.0374 | -0.0096 | 0.0028 | 0.0016 | -0.0328 | 0.0223 | -0.0147 | 0.0162 | 0.0125 | 0.0185 | -0.0146 | 0.0132 |
| 1034n2 | 1034n2 | Neutrophils | H. sapiens | 1 | #D95F02 | 1034n2 | -0.1223 | 0.1167 | -0.1223 | 0.1167 | -0.1332 | 0.0404 | -0.0121 | 0.0144 | 0.1042 | -0.1893 | 0.1124 | 0.0656 | -0.2298 | -0.0643 | 0.2584 | 0.0548 | -0.1354 | -0.2260 | 0.0685 | 0.0509 | 0.0248 | -0.0647 | 0.1426 | 0.2479 | -0.0757 | -0.2101 | -0.2118 | 0.1187 | -0.1589 | 0.0910 | -0.0317 | -0.1742 | 0.0599 | -0.0377 | 0.3211 | 0.0236 | 0.0532 | 0.1637 | 0.1132 | 0.2654 | -0.0317 | -0.1032 | -0.1248 | -0.1342 | -0.0891 | -0.2632 | -0.1241 | -0.0497 | -0.0215 | -0.0949 | 0.0492 | -0.0267 | -0.0141 | 0.0635 | -0.0578 | -0.0801 | 0.0360 | 0.0680 | 0.1068 | -0.0372 | -0.0268 | 0.0097 | -0.0056 | -0.0075 | -0.0155 | -0.0023 | -0.0205 | 0.0058 | -0.0308 | 0.0273 | -0.0091 | 0.0304 | 0.0102 | -0.0126 | -0.0043 | 0.0117 | -0.0040 | -0.0129 | 0.0222 | -0.0101 | -0.0074 | -0.0133 | 0.0227 | -0.0079 | 0.0083 | -0.0179 | 0.0062 | -0.0059 | -0.0044 | -0.0058 | 0.0033 | -0.0105 | 0.0049 | -0.0062 | 0.0029 | 0.0001 | -0.0025 | 0.0071 | -0.0025 | -0.0015 |
| 1034m2 | 1034m2 | Monocytes | H. sapiens | 1 | #7570B3 | 1034m2 | -0.0346 | -0.1033 | -0.0346 | -0.1033 | -0.0231 | -0.1164 | 0.1186 | 0.0694 | 0.1264 | -0.2644 | 0.1695 | -0.0193 | 0.0196 | -0.1442 | 0.0776 | -0.0097 | 0.0664 | -0.0240 | 0.0061 | -0.0674 | -0.0011 | -0.0036 | -0.2886 | 0.0742 | 0.0081 | -0.0069 | -0.0362 | -0.0543 | -0.0024 | 0.0478 | -0.0093 | -0.0357 | 0.0714 | -0.0792 | -0.1627 | 0.0245 | 0.0747 | -0.0843 | -0.0987 | -0.1665 | -0.0435 | -0.0072 | 0.0236 | 0.0002 | -0.1094 | -0.0509 | 0.0334 | 0.0098 | 0.0485 | -0.0306 | 0.0486 | -0.0687 | 0.0998 | 0.2260 | -0.0107 | 0.0506 | -0.0487 | -0.1410 | -0.0521 | -0.0207 | 0.0385 | -0.0895 | 0.0933 | 0.0962 | 0.0585 | -0.0328 | -0.0175 | 0.0449 | 0.0567 | -0.0507 | -0.0074 | -0.0491 | -0.0425 | -0.0339 | 0.0572 | 0.1264 | -0.1260 | 0.0010 | 0.2422 | -0.1687 | 0.3037 | 0.0982 | 0.2400 | 0.2479 | 0.1893 | -0.0384 | 0.1658 | -0.0204 | 0.1070 | 0.1369 | 0.0535 | 0.0218 | 0.0157 | 0.0296 | 0.0320 | 0.0027 | -0.0133 | -0.0125 | 0.0037 | 0.0061 |
| 1034m2- | 1034m2- | Monocytes | H. sapiens | 1 | #7570B3 | 1034m2- | -0.0376 | -0.0962 | -0.0376 | -0.0962 | -0.0139 | -0.1112 | 0.1222 | 0.0700 | 0.1293 | -0.2606 | 0.1913 | -0.0239 | 0.0008 | -0.1736 | 0.0780 | 0.0317 | -0.0082 | 0.0363 | 0.0064 | -0.0890 | 0.0297 | -0.0020 | -0.2792 | 0.0711 | -0.0468 | 0.0111 | -0.0246 | -0.0735 | 0.0061 | 0.0918 | -0.0251 | -0.0030 | 0.0985 | -0.0065 | -0.1934 | -0.0138 | 0.0323 | 0.0212 | -0.1076 | -0.0789 | 0.0182 | 0.0296 | 0.0669 | 0.0032 | -0.0812 | -0.0455 | -0.0066 | -0.0498 | 0.0789 | -0.0523 | -0.0125 | -0.0163 | 0.1084 | 0.1684 | 0.0395 | 0.0747 | -0.0794 | -0.1235 | -0.0399 | -0.0066 | 0.0140 | 0.0173 | 0.0830 | -0.0198 | -0.0562 | 0.0993 | 0.0093 | -0.0085 | -0.0458 | 0.0409 | 0.0261 | 0.0552 | 0.0342 | 0.0559 | -0.0738 | -0.0532 | 0.1492 | -0.0266 | -0.2472 | 0.2080 | -0.3865 | -0.1179 | -0.2403 | -0.1779 | -0.1748 | 0.0267 | -0.0762 | -0.0095 | -0.1590 | -0.1420 | -0.0673 | -0.0469 | 0.0063 | -0.0457 | -0.0216 | -0.0147 | -0.0134 | 0.0086 | 0.0155 | -0.0135 |
| 2050bp1 | 2050bp1 | Biopsy | H. sapiens | 1 | #E7298A | 2050bp1 | 0.1072 | 0.0141 | 0.1072 | 0.0141 | 0.0092 | -0.0343 | -0.2307 | 0.0661 | 0.2748 | 0.1167 | -0.0016 | -0.1658 | -0.0329 | -0.1069 | -0.0142 | 0.0207 | 0.0262 | 0.0508 | 0.3048 | 0.0441 | -0.0606 | -0.0670 | -0.0711 | 0.1026 | 0.0555 | 0.0546 | -0.0274 | -0.2106 | -0.0406 | -0.0559 | -0.0841 | 0.1119 | -0.1014 | 0.2304 | 0.2126 | -0.0766 | 0.0462 | -0.1670 | 0.0464 | -0.0951 | -0.0763 | -0.0423 | 0.2249 | -0.0073 | 0.2751 | -0.0814 | -0.0744 | -0.1012 | -0.0648 | -0.1342 | 0.1386 | -0.1197 | 0.1568 | -0.0572 | 0.0386 | 0.0099 | 0.0587 | 0.1172 | -0.0731 | 0.0109 | -0.0321 | -0.0377 | 0.0262 | -0.0304 | 0.0945 | 0.1300 | 0.0426 | 0.1911 | -0.0056 | -0.0771 | 0.0286 | 0.0218 | 0.0697 | -0.1917 | -0.1555 | 0.0522 | -0.0675 | 0.0292 | 0.0060 | 0.0574 | -0.0338 | 0.0366 | 0.0054 | -0.0127 | 0.0818 | -0.0270 | -0.0726 | -0.0101 | 0.0115 | -0.0065 | -0.0352 | 0.0131 | 0.0035 | -0.0035 | 0.0037 | 0.0046 | -0.0479 | 0.0146 | -0.0040 | -0.0012 |
| 2052bp1 | 2052bp1 | Biopsy | H. sapiens | 1 | #E7298A | 2052bp1 | 0.1244 | 0.0549 | 0.1244 | 0.0549 | 0.0131 | -0.0409 | -0.2266 | -0.0282 | -0.1348 | -0.0864 | 0.1578 | 0.1031 | 0.0393 | 0.0717 | -0.0865 | 0.0877 | 0.0171 | -0.0400 | 0.0119 | -0.0044 | -0.0703 | -0.0691 | 0.0216 | -0.0290 | 0.0722 | -0.0367 | 0.0072 | -0.1925 | 0.1353 | 0.1810 | 0.1933 | -0.0395 | 0.0866 | 0.0223 | 0.1194 | 0.2161 | -0.0628 | -0.0095 | 0.0291 | -0.0998 | 0.0325 | 0.2017 | 0.0988 | -0.0197 | -0.0863 | 0.0092 | -0.0120 | -0.0233 | -0.1228 | -0.1138 | 0.2031 | 0.1566 | -0.1487 | -0.0755 | -0.1857 | -0.1103 | -0.1257 | -0.0847 | -0.0630 | -0.2806 | -0.0256 | -0.2252 | 0.1054 | 0.0634 | 0.1050 | 0.0020 | -0.1692 | -0.1310 | 0.1218 | 0.0620 | -0.1896 | -0.0274 | 0.0400 | -0.1348 | -0.0810 | -0.1552 | 0.0740 | -0.0171 | -0.0287 | -0.0686 | 0.0179 | -0.1302 | -0.0232 | -0.0250 | -0.0662 | -0.0118 | 0.0451 | -0.0439 | 0.0214 | 0.0259 | -0.0004 | 0.0008 | -0.0141 | 0.0037 | -0.0220 | 0.0097 | -0.0144 | -0.0143 | -0.0086 | -0.0039 |
| 2052e1 | 2052e1 | Eosinophils | H. sapiens | 1 | #66A61E | 2052e1 | -0.0947 | 0.0195 | -0.0947 | 0.0195 | 0.2188 | 0.0673 | 0.0024 | 0.0143 | -0.0479 | 0.0271 | -0.1098 | -0.0588 | 0.1240 | 0.1046 | -0.1355 | -0.0882 | 0.1485 | -0.2547 | 0.1292 | -0.0181 | -0.1109 | 0.0010 | -0.0189 | 0.0596 | 0.0488 | -0.0084 | -0.1208 | 0.1100 | -0.2076 | -0.1791 | 0.1356 | -0.0885 | -0.0396 | 0.1121 | 0.0082 | 0.2637 | 0.0976 | -0.1751 | -0.0803 | -0.0152 | 0.2904 | 0.1513 | 0.0734 | -0.3135 | -0.1401 | -0.1670 | 0.0464 | 0.0689 | 0.0688 | 0.0662 | -0.0657 | -0.2001 | 0.0160 | -0.0081 | 0.1422 | -0.0003 | -0.1928 | -0.0609 | 0.0066 | 0.0810 | 0.1213 | 0.0297 | -0.0023 | -0.0818 | -0.0639 | -0.0101 | 0.0791 | -0.0346 | 0.1088 | -0.0221 | 0.0187 | -0.0972 | 0.0511 | -0.0251 | -0.0698 | -0.0226 | 0.0363 | -0.0613 | 0.0233 | -0.0078 | -0.0689 | -0.0269 | -0.0170 | -0.0440 | 0.0016 | 0.0234 | -0.0004 | -0.0059 | 0.0314 | 0.0385 | 0.0071 | 0.0631 | 0.0085 | 0.0327 | 0.0306 | 0.0085 | 0.0060 | 0.0307 | 0.0204 | -0.0103 |
| 2052m2 | 2052m2 | Monocytes | H. sapiens | 1 | #7570B3 | 2052m2 | -0.0364 | -0.0890 | -0.0364 | -0.0890 | -0.0138 | -0.1538 | 0.1073 | 0.0502 | -0.0327 | -0.0530 | -0.0841 | -0.1269 | 0.1485 | 0.0902 | -0.2823 | 0.0424 | -0.0365 | -0.0456 | 0.1148 | -0.0215 | 0.0470 | -0.0406 | 0.3966 | 0.0974 | -0.2790 | -0.0827 | -0.4901 | -0.2440 | 0.2536 | 0.0714 | 0.0097 | 0.1184 | -0.0506 | -0.0992 | -0.1919 | -0.1157 | 0.2283 | -0.0217 | -0.0117 | 0.0000 | -0.0387 | -0.0671 | -0.0151 | 0.0274 | -0.0410 | -0.0466 | 0.0068 | 0.0370 | -0.0137 | 0.0427 | 0.0042 | 0.0185 | 0.0056 | -0.0007 | 0.0118 | 0.0527 | 0.0338 | -0.0172 | 0.0353 | -0.0305 | -0.0238 | 0.0359 | -0.0245 | 0.0145 | 0.0382 | -0.0023 | -0.0189 | 0.0111 | 0.0256 | -0.0429 | -0.0055 | -0.0210 | 0.0004 | -0.0441 | 0.0085 | -0.0262 | -0.0089 | 0.0119 | -0.0098 | 0.0019 | -0.0153 | 0.0167 | 0.0039 | -0.0085 | -0.0033 | -0.0117 | 0.0056 | 0.0032 | -0.0118 | 0.0119 | -0.0050 | -0.0009 | -0.0108 | 0.0027 | 0.0034 | -0.0024 | 0.0066 | -0.0024 | 0.0035 | 0.0017 |
| 2052n2 | 2052n2 | Neutrophils | H. sapiens | 1 | #D95F02 | 2052n2 | -0.1194 | 0.1166 | -0.1194 | 0.1166 | -0.1281 | 0.0308 | 0.0170 | 0.0127 | -0.0354 | -0.0239 | -0.1141 | -0.0762 | 0.0320 | 0.1382 | -0.2335 | 0.0418 | -0.3463 | -0.2653 | 0.2236 | -0.3326 | 0.3883 | -0.1383 | -0.2701 | -0.3073 | 0.1834 | 0.0201 | 0.0422 | -0.0645 | 0.0477 | -0.0583 | -0.1712 | -0.1360 | -0.0534 | -0.0203 | -0.0030 | 0.0621 | 0.0749 | 0.0176 | 0.0905 | 0.0580 | -0.0376 | -0.0332 | -0.0910 | 0.0931 | 0.0149 | -0.0204 | -0.0479 | -0.0401 | -0.0213 | 0.0057 | -0.0285 | 0.0133 | 0.0212 | -0.0333 | -0.0153 | -0.0694 | -0.0401 | -0.0145 | -0.0319 | -0.0080 | -0.0043 | -0.0245 | -0.0237 | 0.0093 | 0.0017 | -0.0220 | 0.0012 | 0.0126 | 0.0028 | 0.0018 | -0.0219 | 0.0210 | 0.0232 | 0.0253 | -0.0247 | 0.0214 | -0.0064 | 0.0008 | 0.0030 | 0.0098 | 0.0049 | 0.0002 | -0.0023 | 0.0067 | -0.0060 | -0.0133 | 0.0097 | -0.0078 | -0.0079 | 0.0028 | 0.0050 | -0.0031 | 0.0025 | -0.0075 | 0.0067 | 0.0046 | 0.0039 | -0.0032 | -0.0010 | -0.0001 |
| 2052m3 | 2052m3 | Monocytes | H. sapiens | 1 | #7570B3 | 2052m3 | -0.0364 | -0.0906 | -0.0364 | -0.0906 | -0.0213 | -0.1565 | 0.0363 | 0.0078 | -0.0392 | -0.0486 | -0.1001 | -0.1014 | 0.1037 | 0.0660 | -0.1463 | 0.0337 | -0.0648 | -0.0533 | 0.0365 | -0.0072 | -0.0097 | -0.0095 | 0.0820 | 0.1178 | -0.1626 | 0.0109 | -0.0024 | 0.0974 | 0.0022 | 0.0387 | 0.0454 | -0.0049 | 0.0901 | 0.0401 | 0.1181 | -0.0028 | -0.3498 | 0.0658 | -0.1597 | -0.0465 | 0.0337 | 0.0870 | 0.0926 | 0.0329 | 0.0514 | 0.1391 | -0.1575 | -0.0640 | 0.1460 | -0.1410 | 0.0450 | -0.0109 | -0.0547 | -0.0037 | -0.1331 | -0.1692 | -0.1015 | 0.1172 | -0.1255 | 0.1764 | 0.1491 | -0.0655 | 0.0889 | 0.0085 | -0.0874 | -0.0230 | -0.0045 | -0.0386 | -0.1119 | 0.1662 | 0.0461 | 0.1212 | 0.1072 | 0.2437 | -0.1548 | 0.3983 | 0.0405 | -0.0159 | 0.0299 | 0.0470 | 0.1079 | 0.0220 | -0.0134 | 0.1215 | -0.0228 | 0.0009 | -0.0344 | -0.0406 | -0.0003 | -0.0775 | -0.0231 | -0.0208 | 0.0282 | -0.1092 | 0.0334 | 0.0128 | 0.0240 | -0.0040 | -0.0273 | -0.0045 |
| 2052n3 | 2052n3 | Neutrophils | H. sapiens | 1 | #D95F02 | 2052n3 | -0.1165 | 0.1233 | -0.1165 | 0.1233 | -0.1221 | 0.0210 | -0.0223 | -0.0146 | -0.0220 | -0.0223 | -0.1036 | -0.0266 | 0.0705 | 0.0674 | -0.0754 | 0.0846 | -0.2189 | -0.1420 | 0.0524 | -0.0457 | 0.0325 | -0.0108 | -0.0837 | 0.1018 | -0.0581 | 0.0151 | 0.0667 | 0.1161 | -0.0750 | 0.0649 | 0.1877 | 0.1438 | 0.1880 | 0.0370 | 0.0626 | -0.1678 | -0.1598 | -0.0066 | -0.2186 | -0.0946 | 0.0251 | 0.0621 | 0.1586 | -0.2162 | -0.0368 | 0.1795 | 0.1089 | 0.1220 | -0.0715 | 0.0876 | 0.2434 | 0.0175 | -0.0733 | 0.1111 | -0.0631 | 0.1826 | 0.2439 | 0.0598 | 0.0915 | 0.0862 | -0.0331 | 0.1165 | 0.0245 | 0.1052 | 0.0489 | 0.1011 | 0.0605 | -0.0274 | -0.1168 | -0.0081 | 0.0907 | -0.0097 | -0.1942 | -0.1979 | 0.2072 | -0.1833 | -0.0842 | 0.0141 | 0.0189 | -0.0218 | -0.0659 | 0.0067 | 0.0112 | -0.0059 | 0.0054 | 0.0174 | -0.0216 | 0.0564 | 0.0154 | -0.0195 | 0.0006 | -0.0120 | -0.0083 | 0.0196 | -0.0193 | -0.0148 | -0.0154 | -0.0078 | -0.0020 | 0.0032 |
| 2065m1 | 2065m1 | Monocytes | H. sapiens | 1 | #7570B3 | 2065m1 | -0.0302 | -0.1172 | -0.0302 | -0.1172 | -0.0084 | -0.1596 | -0.0460 | -0.0504 | -0.1318 | 0.1495 | -0.1746 | 0.0874 | -0.1274 | -0.1232 | 0.1965 | 0.0000 | 0.0051 | -0.1287 | 0.0510 | -0.0149 | -0.0570 | 0.0253 | -0.0029 | -0.1076 | -0.0019 | 0.0681 | -0.0821 | -0.0690 | 0.0702 | 0.0467 | -0.1227 | -0.0923 | 0.0192 | -0.0774 | 0.0571 | 0.0416 | 0.0252 | -0.0762 | -0.2658 | -0.1495 | -0.0398 | -0.0579 | 0.0174 | -0.0437 | 0.0013 | -0.0246 | 0.0843 | -0.0093 | 0.0935 | -0.0239 | -0.1074 | 0.0411 | -0.0144 | -0.0366 | -0.0265 | -0.0196 | -0.0636 | 0.0850 | 0.0798 | -0.0508 | -0.0788 | -0.0296 | -0.0036 | -0.1493 | -0.2213 | 0.0599 | 0.0135 | 0.0578 | -0.1546 | 0.1101 | 0.0015 | 0.0459 | -0.1975 | -0.0687 | -0.1202 | -0.2661 | -0.0265 | -0.1394 | -0.1992 | 0.0042 | 0.2728 | 0.1528 | -0.1234 | 0.0491 | 0.0697 | 0.0021 | 0.0461 | -0.2092 | -0.1115 | -0.0479 | 0.0948 | 0.0640 | 0.1618 | -0.0841 | -0.0064 | 0.0662 | -0.0115 | -0.0002 | -0.0090 | -0.0083 |
| 2065n1 | 2065n1 | Neutrophils | H. sapiens | 1 | #D95F02 | 2065n1 | -0.1049 | 0.0967 | -0.1049 | 0.0967 | -0.1079 | -0.0089 | -0.0478 | -0.0200 | -0.1182 | 0.0835 | -0.1877 | 0.0399 | 0.0291 | -0.1761 | -0.0011 | 0.0610 | 0.1115 | 0.0581 | -0.0934 | -0.1013 | -0.0998 | -0.0303 | -0.2288 | 0.0942 | -0.1498 | -0.1784 | -0.0273 | 0.0082 | 0.2896 | -0.1042 | 0.0069 | -0.0764 | 0.0759 | 0.0443 | 0.0138 | -0.1124 | -0.0222 | -0.1276 | 0.1807 | 0.0111 | 0.0410 | 0.1466 | -0.0232 | -0.0071 | -0.0130 | -0.0487 | 0.0604 | 0.0078 | 0.0185 | -0.1886 | -0.2163 | -0.0838 | -0.1009 | -0.0801 | 0.1310 | -0.0481 | 0.0880 | 0.0018 | -0.0066 | -0.0331 | -0.0308 | -0.0236 | -0.0113 | -0.0325 | 0.0020 | -0.0255 | -0.1021 | -0.0010 | -0.1091 | 0.0897 | -0.0347 | 0.1842 | -0.0791 | 0.0259 | -0.0427 | -0.0678 | -0.2501 | -0.0529 | 0.3023 | 0.0681 | -0.1799 | -0.1201 | 0.1007 | 0.0096 | -0.0784 | 0.1792 | -0.0564 | -0.0741 | 0.0214 | 0.0957 | -0.0418 | -0.0431 | -0.0466 | -0.0257 | -0.0106 | -0.0032 | -0.0215 | 0.0011 | -0.0135 | -0.0053 |
| 2065bp1 | 2065bp1 | Biopsy | H. sapiens | 1 | #E7298A | 2065bp1 | 0.1274 | 0.0516 | 0.1274 | 0.0516 | -0.0089 | -0.0448 | -0.2479 | -0.1405 | -0.1878 | -0.0997 | 0.1640 | 0.1102 | -0.1481 | 0.0432 | -0.1252 | 0.0160 | -0.0421 | 0.0926 | 0.2066 | -0.0970 | -0.1721 | 0.1143 | 0.0085 | -0.0346 | -0.0485 | -0.1060 | 0.0428 | 0.0328 | 0.0449 | -0.1457 | -0.1665 | 0.1326 | 0.1974 | -0.0571 | -0.1055 | 0.0902 | 0.0473 | 0.0206 | 0.1138 | -0.0506 | 0.1911 | -0.3920 | 0.1821 | -0.1151 | 0.1147 | -0.0335 | 0.0219 | 0.0401 | -0.1782 | -0.0828 | -0.1592 | 0.1028 | 0.0297 | 0.1237 | 0.0002 | -0.0555 | -0.0261 | 0.0488 | 0.0585 | 0.1847 | 0.1247 | -0.0223 | 0.0067 | 0.0414 | -0.0275 | 0.0246 | -0.0041 | -0.0131 | -0.0420 | -0.0117 | 0.0208 | -0.0572 | -0.1136 | 0.1590 | 0.1335 | 0.0419 | 0.0634 | -0.0181 | 0.0118 | -0.1045 | -0.0112 | -0.0119 | -0.0181 | -0.0130 | -0.0512 | 0.0072 | 0.0403 | -0.0221 | 0.0290 | -0.0227 | 0.0030 | -0.0032 | -0.0006 | -0.0050 | 0.0003 | -0.0089 | -0.0052 | 0.0069 | -0.0084 | -0.0036 |
| 2066m1 | 2066m1 | Monocytes | H. sapiens | 1 | #7570B3 | 2066m1 | -0.0302 | -0.1134 | -0.0302 | -0.1134 | -0.0033 | -0.1613 | 0.0057 | -0.0476 | 0.0042 | -0.0185 | -0.0360 | 0.0049 | 0.0784 | 0.0723 | 0.0305 | -0.0751 | -0.0142 | 0.0038 | -0.0856 | -0.0548 | 0.0647 | -0.0191 | 0.0163 | 0.0277 | -0.0757 | 0.0664 | 0.0320 | 0.1518 | -0.1066 | 0.0072 | 0.2099 | 0.0096 | -0.2350 | 0.1009 | 0.0344 | -0.0937 | -0.0487 | -0.0153 | 0.2495 | -0.0334 | 0.0105 | -0.1989 | 0.0187 | 0.0336 | -0.0538 | -0.0399 | -0.0023 | 0.0025 | -0.0822 | -0.0451 | -0.1053 | -0.0205 | 0.0390 | -0.0565 | -0.0134 | 0.0485 | -0.1171 | -0.0417 | -0.1535 | 0.0098 | 0.1088 | -0.0926 | -0.0319 | 0.0992 | 0.1158 | 0.1338 | -0.0150 | -0.0237 | -0.1207 | 0.0341 | 0.0112 | 0.1897 | -0.0383 | 0.0552 | -0.0509 | -0.2822 | 0.0121 | -0.0792 | -0.1896 | -0.1172 | -0.1857 | -0.0001 | 0.1530 | 0.3701 | 0.0260 | -0.2598 | -0.0223 | 0.0132 | -0.0424 | -0.0544 | 0.1431 | 0.0573 | -0.0225 | 0.1272 | -0.0358 | -0.0153 | -0.0008 | 0.0093 | 0.0032 | 0.0052 |
| 2066n1 | 2066n1 | Neutrophils | H. sapiens | 1 | #D95F02 | 2066n1 | -0.1217 | 0.1039 | -0.1217 | 0.1039 | -0.1040 | 0.0167 | -0.0039 | -0.0134 | 0.0013 | 0.0095 | -0.0144 | -0.0047 | 0.0953 | -0.0020 | 0.0360 | -0.1171 | 0.0281 | 0.0024 | -0.0275 | -0.1475 | 0.0150 | -0.1069 | 0.0263 | 0.0353 | -0.0581 | 0.0636 | 0.1080 | 0.0625 | -0.0532 | 0.0553 | 0.1425 | 0.1417 | -0.2892 | 0.1729 | -0.1316 | -0.0781 | -0.1175 | 0.0410 | 0.0217 | -0.0909 | 0.0965 | -0.2826 | 0.0352 | -0.0558 | -0.0765 | -0.0551 | 0.0744 | -0.0859 | -0.0198 | -0.0118 | 0.0149 | 0.1265 | 0.0233 | 0.1963 | 0.0407 | 0.0841 | 0.0689 | 0.2104 | 0.1352 | -0.3294 | -0.0731 | -0.0910 | 0.0386 | -0.3375 | -0.1503 | -0.1149 | -0.1014 | 0.0158 | 0.1416 | 0.0967 | -0.1167 | -0.1348 | 0.0727 | 0.0132 | -0.0095 | 0.1461 | 0.0081 | 0.0732 | 0.0227 | 0.0392 | 0.0306 | 0.0144 | 0.0456 | -0.0112 | -0.0717 | 0.1225 | -0.0387 | -0.0826 | -0.0089 | 0.0155 | 0.0026 | 0.0034 | 0.0140 | -0.0249 | 0.0357 | 0.0056 | 0.0095 | 0.0034 | 0.0116 | 0.0054 |
| 2066bp1 | 2066bp1 | Biopsy | H. sapiens | 1 | #E7298A | 2066bp1 | 0.1240 | 0.0553 | 0.1240 | 0.0553 | -0.0039 | -0.0393 | -0.1856 | 0.0601 | -0.1070 | -0.0488 | 0.1499 | 0.0659 | -0.0362 | 0.0813 | -0.0776 | 0.0214 | 0.0374 | -0.0991 | -0.2052 | -0.1169 | -0.0811 | -0.1136 | -0.0191 | -0.0817 | -0.0741 | 0.1478 | -0.1051 | 0.1392 | 0.0031 | 0.0893 | 0.0775 | 0.0676 | -0.0294 | 0.0748 | -0.0069 | 0.1714 | -0.0427 | 0.1188 | 0.1543 | -0.1121 | -0.0603 | -0.0510 | -0.0490 | 0.1171 | -0.0585 | -0.0310 | -0.1608 | -0.0312 | 0.2858 | 0.0688 | 0.0672 | -0.0574 | -0.0913 | -0.0677 | 0.2350 | 0.0447 | 0.0920 | -0.1026 | 0.0333 | 0.1314 | -0.2488 | 0.0882 | 0.0366 | -0.0704 | 0.0831 | 0.0618 | 0.0736 | 0.1519 | -0.1770 | -0.2076 | -0.0265 | -0.0426 | -0.2757 | -0.0965 | -0.1662 | 0.1363 | 0.1413 | -0.0103 | 0.0964 | -0.0157 | -0.0105 | 0.0735 | -0.0259 | -0.0017 | -0.0119 | 0.0424 | -0.0021 | -0.0056 | -0.0065 | -0.0249 | -0.0022 | 0.0095 | -0.0096 | -0.0327 | 0.0024 | -0.0020 | -0.0070 | -0.0031 | 0.0052 | -0.0051 |
| 2065m2 | 2065m2 | Monocytes | H. sapiens | 1 | #7570B3 | 2065m2 | -0.0350 | -0.1227 | -0.0350 | -0.1227 | 0.0002 | -0.1505 | -0.0202 | -0.0869 | -0.0920 | 0.1995 | -0.0764 | 0.0772 | -0.0548 | -0.0745 | 0.2488 | -0.0187 | -0.0612 | -0.1018 | 0.0844 | -0.0169 | -0.0874 | 0.0550 | -0.0457 | -0.1600 | -0.0087 | 0.0935 | -0.1063 | -0.0190 | -0.0385 | 0.1844 | -0.0528 | -0.0132 | 0.0973 | -0.0644 | 0.0040 | -0.0188 | 0.0666 | -0.0290 | -0.1576 | -0.0901 | 0.0941 | -0.0042 | -0.0323 | -0.0081 | 0.0995 | 0.0342 | 0.0175 | -0.0524 | 0.0474 | 0.1428 | -0.0312 | 0.1229 | 0.0219 | -0.1271 | -0.0500 | -0.0809 | -0.0664 | 0.1039 | 0.1204 | -0.1276 | -0.0921 | 0.2051 | 0.1138 | 0.0729 | -0.0669 | 0.0539 | 0.0233 | -0.0148 | 0.0717 | -0.1151 | -0.0441 | -0.0759 | 0.1167 | 0.0153 | -0.0283 | 0.1928 | 0.0640 | 0.0843 | 0.1598 | -0.0973 | -0.3306 | -0.1555 | 0.2047 | 0.1600 | -0.0514 | -0.1409 | -0.0805 | 0.1622 | 0.0788 | 0.0152 | -0.0200 | -0.0236 | -0.1774 | 0.0852 | -0.0321 | -0.0386 | 0.0044 | 0.0091 | 0.0083 | 0.0220 |
| 2065n2 | 2065n2 | Neutrophils | H. sapiens | 1 | #D95F02 | 2065n2 | -0.1143 | 0.1052 | -0.1143 | 0.1052 | -0.1065 | 0.0086 | -0.0462 | -0.0649 | -0.0872 | 0.1812 | -0.0824 | 0.0238 | 0.1015 | -0.0841 | -0.0020 | 0.0420 | 0.0257 | 0.0561 | -0.0664 | -0.0122 | -0.0898 | 0.1285 | -0.2621 | 0.0405 | -0.1768 | -0.0065 | -0.1449 | 0.1218 | 0.0908 | 0.0577 | 0.0550 | -0.1538 | 0.1848 | -0.0611 | 0.1308 | -0.2156 | 0.0514 | -0.0957 | 0.1712 | 0.0422 | 0.1396 | 0.0446 | 0.0479 | 0.0930 | 0.0309 | 0.0332 | -0.1989 | -0.1510 | -0.1771 | 0.2718 | 0.0829 | -0.0088 | 0.0499 | 0.0332 | 0.1046 | 0.0710 | 0.0224 | -0.0879 | -0.0871 | -0.0382 | 0.0968 | -0.0452 | 0.0167 | -0.1178 | 0.0485 | -0.1077 | -0.0117 | 0.0426 | 0.1521 | -0.1071 | -0.0178 | -0.0506 | 0.0669 | 0.0202 | 0.0287 | 0.0790 | 0.1946 | 0.0321 | -0.2561 | -0.0449 | 0.1830 | 0.0991 | -0.1297 | -0.0309 | 0.0720 | -0.0886 | 0.0468 | 0.0599 | 0.0032 | -0.0360 | 0.0209 | 0.0403 | 0.0266 | 0.0179 | 0.0101 | 0.0072 | 0.0155 | -0.0032 | 0.0104 | 0.0019 |
| 2066m2 | 2066m2 | Monocytes | H. sapiens | 1 | #7570B3 | 2066m2 | -0.0329 | -0.1082 | -0.0329 | -0.1082 | -0.0027 | -0.1528 | 0.0036 | -0.0472 | -0.1063 | 0.1605 | -0.0923 | 0.0947 | 0.0164 | -0.1098 | 0.1698 | 0.0004 | -0.0041 | -0.1558 | 0.0414 | -0.0567 | -0.0445 | -0.0363 | 0.0116 | -0.0519 | -0.0485 | 0.1421 | -0.0593 | 0.0504 | -0.1202 | 0.0680 | 0.1523 | 0.0274 | -0.1011 | 0.1101 | -0.0718 | -0.0444 | -0.0964 | 0.0030 | 0.0684 | -0.0325 | -0.0570 | -0.2451 | -0.0646 | 0.0200 | -0.0330 | -0.0207 | -0.0185 | 0.0117 | 0.0072 | -0.0748 | -0.0634 | -0.0023 | 0.1050 | -0.0500 | -0.0603 | -0.0560 | -0.0990 | -0.1447 | -0.1448 | 0.0184 | 0.0302 | -0.0074 | -0.0074 | 0.3056 | 0.2253 | 0.0204 | 0.0865 | -0.1220 | 0.0146 | -0.0393 | 0.0390 | 0.0384 | 0.1373 | -0.0557 | 0.1700 | 0.0200 | -0.1212 | 0.0641 | 0.1018 | 0.0522 | 0.1735 | -0.0508 | -0.1829 | -0.4190 | 0.0113 | 0.1682 | 0.0521 | 0.0120 | 0.0324 | 0.0579 | -0.1024 | -0.0572 | 0.0594 | -0.0335 | 0.0120 | -0.0041 | 0.0142 | -0.0123 | -0.0140 | -0.0016 |
| 2068m1 | 2068m1 | Monocytes | H. sapiens | 1 | #7570B3 | 2068m1 | -0.0307 | -0.1182 | -0.0307 | -0.1182 | 0.0017 | -0.1719 | -0.0362 | -0.0590 | -0.0539 | 0.1989 | 0.0458 | 0.1321 | -0.1873 | 0.0554 | 0.1134 | -0.0245 | -0.0131 | -0.1078 | -0.0128 | 0.0583 | 0.1010 | 0.0176 | 0.0148 | -0.0276 | 0.0667 | -0.0549 | 0.0566 | -0.0613 | 0.0808 | -0.0723 | -0.0178 | 0.1120 | -0.0732 | 0.0614 | -0.0465 | -0.0364 | 0.0469 | 0.0315 | -0.0943 | 0.0570 | 0.0119 | 0.1172 | 0.1589 | -0.0379 | -0.1432 | -0.2005 | 0.0395 | 0.1477 | 0.0768 | 0.1058 | 0.1633 | 0.0440 | 0.0179 | 0.0171 | -0.0466 | -0.0099 | 0.2625 | -0.2035 | -0.1595 | 0.1878 | 0.1312 | -0.2006 | -0.2328 | -0.0839 | 0.0063 | -0.2062 | -0.2097 | 0.2185 | -0.1493 | -0.0118 | -0.1371 | 0.0052 | 0.1400 | 0.0483 | 0.0776 | 0.0677 | 0.0772 | 0.0942 | 0.0244 | 0.0624 | -0.0836 | 0.0523 | 0.0907 | -0.0023 | -0.0949 | 0.0033 | -0.0390 | 0.0419 | 0.0223 | -0.0285 | 0.0640 | 0.0078 | 0.0720 | 0.0112 | -0.0277 | -0.0108 | -0.0269 | 0.0121 | -0.0107 | -0.0008 |
| 2068n1 | 2068n1 | Neutrophils | H. sapiens | 1 | #D95F02 | 2068n1 | -0.1172 | 0.0941 | -0.1172 | 0.0941 | -0.0881 | 0.0003 | -0.0407 | -0.0381 | -0.0338 | 0.1894 | 0.0743 | 0.0516 | 0.0278 | -0.0065 | -0.0518 | -0.0605 | 0.1837 | 0.0784 | -0.0576 | 0.0225 | 0.1196 | 0.0617 | -0.1317 | 0.1437 | -0.0661 | 0.0093 | -0.0265 | -0.1004 | 0.1229 | -0.0789 | -0.1283 | -0.0526 | -0.1506 | 0.0666 | -0.0539 | 0.0896 | -0.1024 | 0.0679 | 0.0660 | 0.1175 | 0.0083 | -0.0087 | -0.0533 | 0.0489 | 0.0137 | -0.1207 | 0.1480 | 0.2607 | 0.1680 | 0.0248 | 0.2513 | 0.0093 | -0.0199 | 0.0984 | -0.1985 | -0.0588 | -0.2207 | 0.2079 | 0.1189 | 0.1362 | 0.0139 | 0.1118 | 0.1631 | 0.1816 | -0.0609 | 0.0405 | 0.1352 | 0.0873 | 0.2163 | -0.1084 | -0.1372 | 0.2472 | -0.1112 | -0.0423 | 0.0818 | -0.0106 | 0.0716 | 0.0677 | -0.1163 | -0.0237 | 0.0130 | 0.0399 | 0.0005 | 0.0333 | -0.0337 | 0.0517 | -0.0299 | 0.0303 | -0.0103 | 0.0227 | 0.0000 | -0.0004 | 0.0353 | 0.0028 | -0.0181 | 0.0016 | -0.0040 | 0.0068 | 0.0041 | -0.0059 |
| 2068e1 | 2068e1 | Eosinophils | H. sapiens | 1 | #66A61E | 2068e1 | -0.0910 | 0.0208 | -0.0910 | 0.0208 | 0.2186 | 0.0475 | -0.0095 | 0.0047 | -0.0617 | 0.1630 | 0.0751 | 0.0800 | -0.0897 | -0.0731 | 0.0200 | 0.0517 | -0.0236 | 0.0448 | -0.0565 | -0.0122 | 0.1746 | 0.0418 | -0.0730 | 0.1249 | -0.0983 | -0.0392 | -0.0169 | -0.0926 | 0.0437 | -0.2168 | 0.0834 | -0.0314 | -0.0373 | 0.0775 | 0.0149 | 0.0431 | 0.1607 | 0.1856 | -0.0416 | -0.1133 | -0.0946 | -0.0637 | -0.1105 | -0.0071 | -0.0331 | 0.1590 | -0.1237 | -0.1310 | -0.0131 | -0.1194 | 0.0848 | 0.0818 | -0.1131 | -0.0043 | -0.2138 | 0.0765 | 0.1131 | -0.0664 | -0.1803 | 0.0753 | 0.1291 | 0.1058 | 0.0102 | -0.2002 | -0.0845 | 0.2069 | 0.1440 | -0.1821 | 0.1050 | -0.1818 | 0.0047 | -0.1953 | 0.0538 | 0.0391 | -0.0227 | 0.0043 | -0.1218 | -0.2049 | 0.1097 | -0.0223 | 0.0151 | -0.0145 | 0.0646 | -0.0001 | -0.0658 | 0.0230 | -0.0350 | -0.0915 | -0.0899 | -0.1576 | 0.0048 | 0.1151 | -0.0040 | 0.1585 | 0.0257 | 0.0089 | 0.0097 | -0.0060 | -0.0044 | 0.0058 |
| 2068bp1 | 2068bp1 | Biopsy | H. sapiens | 1 | #E7298A | 2068bp1 | 0.1163 | 0.0352 | 0.1163 | 0.0352 | 0.0003 | -0.0277 | -0.0909 | 0.2590 | 0.2338 | 0.1573 | -0.0269 | 0.0036 | -0.0872 | 0.1318 | 0.0211 | 0.0316 | 0.0139 | 0.0607 | 0.0697 | 0.0289 | -0.0780 | -0.1853 | -0.0352 | 0.0202 | 0.0150 | 0.0840 | -0.0541 | -0.0712 | 0.0102 | -0.0146 | -0.0145 | -0.1086 | 0.0512 | 0.0569 | -0.0008 | 0.0136 | 0.0234 | 0.0908 | -0.0973 | 0.0692 | 0.0421 | -0.0239 | -0.0443 | 0.0464 | -0.0550 | 0.0146 | 0.0964 | -0.0222 | 0.1433 | 0.1848 | -0.1566 | -0.0278 | -0.0367 | 0.1525 | 0.1733 | -0.0128 | 0.2040 | 0.2606 | -0.1787 | -0.0639 | 0.1710 | -0.1032 | 0.1068 | 0.1679 | 0.0236 | -0.1526 | -0.0310 | -0.4159 | -0.1054 | -0.1448 | -0.1628 | -0.0168 | -0.1284 | 0.1022 | 0.0169 | -0.0370 | -0.0134 | -0.0154 | -0.0997 | -0.0021 | 0.0188 | -0.0687 | 0.0179 | 0.0124 | -0.0164 | -0.0168 | 0.0193 | -0.0175 | 0.0257 | 0.0073 | -0.0115 | -0.0187 | -0.0157 | -0.0003 | -0.0095 | -0.0120 | 0.0154 | 0.0027 | 0.0012 | -0.0248 |
| 2072m1 | 2072m1 | Monocytes | H. sapiens | 1 | #7570B3 | 2072m1 | -0.0387 | -0.0955 | -0.0387 | -0.0955 | -0.0045 | -0.1485 | 0.1497 | 0.0469 | -0.0894 | 0.1765 | 0.0805 | 0.0369 | -0.0745 | -0.1631 | -0.0067 | 0.1026 | 0.0074 | -0.1225 | 0.1213 | 0.0623 | -0.1603 | 0.0111 | 0.0585 | -0.1806 | 0.1518 | -0.0264 | -0.0166 | -0.0967 | -0.0514 | -0.0222 | -0.0241 | 0.1139 | 0.0515 | 0.0609 | -0.1129 | 0.0192 | -0.0584 | 0.0614 | 0.2212 | 0.1830 | 0.0167 | 0.1379 | -0.2420 | -0.1237 | 0.0044 | 0.2172 | 0.0326 | -0.0267 | -0.0502 | -0.1179 | 0.1982 | -0.0477 | 0.0795 | 0.1050 | 0.1128 | 0.2509 | 0.0173 | 0.0677 | 0.1611 | 0.1178 | -0.0581 | -0.2057 | -0.0331 | -0.1117 | 0.1715 | 0.0402 | -0.0089 | -0.1621 | 0.1499 | 0.1280 | 0.1035 | 0.0694 | -0.1367 | 0.0947 | -0.1381 | 0.0913 | -0.0187 | -0.0189 | -0.0744 | -0.0017 | -0.0256 | -0.0137 | 0.0032 | 0.0815 | 0.0470 | 0.0290 | 0.0208 | 0.0234 | 0.0273 | -0.0183 | 0.0541 | -0.0184 | 0.0181 | 0.0340 | -0.0121 | -0.0182 | 0.0022 | 0.0154 | 0.0079 | 0.0006 |
| 2072n1 | 2072n1 | Neutrophils | H. sapiens | 1 | #D95F02 | 2072n1 | -0.1203 | 0.1065 | -0.1203 | 0.1065 | -0.0981 | 0.0186 | 0.0827 | 0.0316 | -0.0354 | 0.1658 | 0.1107 | -0.0073 | 0.0960 | -0.1283 | -0.1119 | -0.0224 | 0.1453 | 0.0857 | 0.0430 | 0.0026 | -0.0957 | 0.0118 | -0.0154 | -0.0367 | 0.0468 | -0.0379 | 0.0696 | 0.0921 | 0.1232 | 0.1459 | -0.1115 | -0.0823 | -0.1974 | -0.0110 | 0.0198 | 0.0600 | 0.1731 | 0.0755 | 0.0373 | 0.0677 | 0.0243 | -0.0051 | 0.0727 | -0.0334 | -0.1569 | 0.1289 | 0.0482 | -0.0270 | 0.0662 | -0.1321 | 0.0333 | -0.0743 | 0.0025 | 0.0447 | -0.0188 | -0.2781 | 0.0685 | 0.0015 | 0.0376 | 0.0386 | -0.0187 | 0.0817 | 0.0433 | 0.1295 | 0.0756 | 0.0482 | -0.0641 | -0.1069 | -0.3058 | 0.1272 | 0.3036 | -0.3437 | 0.1651 | -0.1927 | 0.0480 | 0.0158 | 0.1054 | 0.1049 | -0.1351 | -0.0280 | -0.0038 | 0.0561 | 0.0581 | 0.0937 | -0.0176 | 0.0245 | -0.0285 | -0.0641 | 0.0063 | -0.0188 | 0.0147 | 0.0378 | 0.0094 | 0.0010 | 0.0009 | -0.0084 | -0.0131 | 0.0014 | 0.0051 | 0.0082 |
| 2072e1 | 2072e1 | Eosinophils | H. sapiens | 1 | #66A61E | 2072e1 | -0.0803 | 0.0239 | -0.0803 | 0.0239 | 0.1847 | 0.0380 | 0.0701 | 0.0829 | -0.0876 | 0.1536 | 0.1659 | 0.0439 | -0.0057 | -0.3131 | -0.0251 | 0.2762 | -0.4093 | 0.3792 | -0.1016 | -0.1484 | 0.1078 | -0.1373 | 0.1809 | 0.0305 | -0.1358 | 0.1382 | 0.0824 | -0.0488 | -0.1296 | 0.0044 | 0.0044 | -0.0295 | -0.0211 | 0.0148 | 0.0233 | 0.1703 | 0.0042 | -0.1497 | -0.0331 | 0.0370 | 0.1301 | 0.0726 | 0.0692 | -0.0812 | -0.0398 | -0.1060 | -0.0372 | 0.0449 | -0.0194 | 0.0897 | -0.0875 | -0.0557 | -0.0046 | -0.0436 | 0.0373 | 0.0615 | -0.0789 | 0.0551 | 0.0477 | -0.0203 | 0.0004 | -0.0044 | -0.0051 | 0.1064 | 0.0559 | -0.1279 | -0.0348 | 0.0968 | 0.0180 | 0.0243 | 0.0351 | 0.0177 | -0.0270 | -0.0082 | -0.0160 | -0.0174 | -0.0056 | 0.0633 | 0.0720 | 0.0312 | 0.0738 | 0.0508 | 0.0033 | 0.0637 | -0.0186 | -0.0300 | -0.0161 | -0.0252 | -0.0428 | -0.0833 | -0.0322 | -0.0575 | -0.0036 | -0.0234 | -0.0210 | -0.0124 | 0.0136 | 0.0132 | 0.0063 | -0.0123 |
| 2072bp1 | 2072bp1 | Biopsy | H. sapiens | 1 | #E7298A | 2072bp1 | 0.1203 | 0.0402 | 0.1203 | 0.0402 | -0.0118 | -0.0191 | -0.0060 | 0.2236 | 0.2122 | 0.1224 | -0.0475 | -0.0007 | -0.0878 | 0.0219 | -0.0143 | 0.0198 | 0.0218 | 0.0280 | 0.0077 | 0.0605 | -0.0027 | -0.0961 | -0.0470 | -0.0325 | -0.0092 | -0.0151 | -0.0358 | 0.2094 | 0.0871 | -0.1939 | -0.1052 | 0.1423 | -0.0374 | -0.1040 | -0.0383 | -0.1256 | -0.0647 | -0.1219 | -0.0455 | 0.1217 | 0.0366 | -0.1198 | -0.0344 | -0.2018 | -0.0414 | 0.0854 | -0.1168 | 0.0021 | -0.0013 | 0.0103 | 0.0942 | 0.0180 | -0.0422 | -0.0478 | -0.2254 | -0.0010 | -0.3154 | -0.2091 | -0.1434 | -0.2145 | -0.0948 | 0.1289 | -0.1597 | 0.0272 | -0.0599 | -0.0365 | -0.2805 | -0.0465 | 0.0288 | -0.0195 | 0.1222 | -0.0179 | -0.2965 | -0.0390 | -0.0078 | 0.0754 | 0.1356 | -0.0257 | 0.0567 | 0.0762 | -0.0023 | -0.0481 | 0.0549 | -0.0068 | 0.0111 | 0.0380 | -0.0309 | 0.0441 | -0.0529 | -0.0139 | 0.0164 | 0.0149 | 0.0040 | -0.0341 | 0.0042 | 0.0119 | 0.0276 | -0.0118 | 0.0036 | 0.0178 |
| 2071bp1 | 2071bp1 | Biopsy | H. sapiens | 1 | #E7298A | 2071bp1 | 0.1156 | 0.0497 | 0.1156 | 0.0497 | -0.0047 | -0.0248 | 0.0226 | 0.3226 | 0.0719 | 0.0706 | -0.0280 | 0.2108 | 0.0109 | 0.1571 | -0.0149 | 0.0722 | 0.0448 | -0.0231 | -0.1120 | 0.0951 | -0.0347 | -0.2254 | 0.0118 | -0.0982 | -0.0102 | -0.0326 | 0.0527 | -0.0381 | 0.0732 | -0.0166 | 0.1193 | -0.1602 | 0.0979 | -0.1219 | 0.0059 | -0.0235 | -0.0498 | -0.0480 | -0.1355 | 0.0916 | 0.1155 | -0.1456 | -0.0517 | 0.0891 | -0.1409 | 0.0350 | 0.1459 | -0.0436 | -0.1589 | 0.0319 | -0.1531 | 0.0028 | -0.0765 | 0.0884 | -0.0828 | -0.0501 | -0.0332 | 0.0383 | 0.0778 | 0.1559 | -0.0160 | -0.1776 | 0.0798 | -0.1383 | 0.1222 | 0.3096 | 0.0974 | 0.3541 | 0.0971 | -0.0235 | 0.1282 | 0.0186 | 0.1582 | -0.0501 | 0.0529 | 0.0534 | -0.0523 | 0.0414 | 0.0084 | 0.1108 | -0.0323 | -0.0429 | 0.0145 | -0.0093 | 0.0496 | -0.0454 | -0.0543 | -0.0170 | 0.0238 | 0.0079 | 0.0013 | -0.0061 | 0.0058 | 0.0018 | 0.0023 | 0.0454 | 0.0334 | -0.0073 | -0.0072 | 0.0077 |
| 2073m1 | 2073m1 | Monocytes | H. sapiens | 1 | #7570B3 | 2073m1 | -0.0364 | -0.1172 | -0.0364 | -0.1172 | 0.0013 | -0.1555 | 0.0352 | -0.0207 | -0.0211 | -0.0064 | -0.0822 | 0.0064 | 0.0151 | 0.0101 | 0.0572 | -0.0455 | 0.0438 | 0.1055 | -0.0441 | -0.0343 | 0.0355 | -0.0144 | 0.0415 | -0.0712 | 0.1166 | -0.0674 | -0.0145 | -0.0117 | -0.0685 | -0.1137 | -0.0118 | -0.0576 | -0.0452 | -0.0062 | 0.0911 | 0.0472 | 0.0531 | 0.0277 | 0.0605 | 0.0135 | -0.0756 | -0.0672 | 0.0085 | -0.0458 | -0.0375 | 0.0183 | 0.1029 | 0.0931 | -0.1234 | -0.0225 | 0.1156 | -0.0229 | -0.1707 | 0.0178 | 0.0147 | 0.1111 | 0.1383 | -0.0774 | -0.0792 | -0.0466 | 0.0973 | 0.0419 | 0.1704 | 0.0303 | -0.0817 | -0.0701 | 0.0199 | 0.1210 | -0.0310 | 0.0619 | 0.0596 | 0.0017 | -0.0768 | 0.0200 | -0.0531 | 0.0126 | 0.1087 | -0.0534 | -0.0377 | -0.0283 | 0.0361 | -0.0084 | -0.1062 | 0.0015 | 0.0804 | -0.0737 | -0.0370 | -0.0887 | 0.0119 | 0.1308 | -0.4173 | 0.0410 | -0.5092 | -0.2099 | 0.2601 | 0.0399 | 0.0549 | -0.0825 | 0.0414 | 0.0134 |
| 2073n1 | 2073n1 | Neutrophils | H. sapiens | 1 | #D95F02 | 2073n1 | -0.1211 | 0.0914 | -0.1211 | 0.0914 | -0.1012 | 0.0140 | -0.0217 | -0.0122 | -0.0114 | -0.0048 | -0.1014 | -0.0053 | 0.0736 | -0.0289 | 0.0438 | -0.0607 | 0.1484 | 0.1629 | -0.0545 | -0.1267 | -0.0451 | -0.1134 | 0.0302 | -0.0479 | 0.1047 | -0.1565 | -0.0108 | -0.0686 | 0.0230 | -0.0526 | -0.0145 | 0.0587 | -0.0370 | 0.0635 | -0.0752 | 0.0606 | -0.0609 | 0.0138 | -0.0901 | 0.0090 | 0.0073 | 0.0486 | 0.0008 | -0.0050 | -0.0527 | -0.0984 | -0.0865 | -0.0278 | 0.0539 | -0.1142 | -0.0298 | 0.0313 | -0.0530 | 0.0043 | -0.0778 | 0.0324 | 0.0602 | 0.0789 | 0.0199 | 0.0234 | -0.0753 | -0.0272 | -0.0615 | 0.0184 | -0.0414 | -0.0238 | 0.0081 | -0.0175 | -0.0521 | 0.0407 | 0.0132 | -0.0325 | -0.0613 | 0.0341 | 0.0164 | 0.0353 | -0.0293 | 0.0149 | 0.1514 | -0.0250 | -0.0332 | -0.0773 | -0.2341 | -0.1864 | 0.2632 | -0.5356 | 0.2365 | 0.2837 | 0.0083 | -0.2276 | 0.0381 | 0.0942 | 0.0568 | 0.0846 | -0.0059 | 0.0149 | -0.0026 | -0.0083 | -0.0082 | 0.0033 |
| 2073e1 | 2073e1 | Eosinophils | H. sapiens | 1 | #66A61E | 2073e1 | -0.0901 | 0.0116 | -0.0901 | 0.0116 | 0.2212 | 0.0516 | -0.0583 | -0.0213 | -0.0039 | 0.0036 | -0.0623 | 0.0369 | 0.0166 | 0.0106 | 0.0880 | -0.0317 | -0.0252 | 0.1662 | -0.0401 | -0.1234 | 0.0928 | -0.0512 | 0.0424 | -0.0417 | 0.0142 | -0.0988 | -0.0971 | -0.0073 | -0.0515 | 0.0268 | 0.0149 | 0.0137 | 0.0880 | -0.0194 | 0.0684 | -0.0644 | -0.0482 | 0.0267 | 0.0914 | 0.0512 | -0.1235 | -0.0605 | 0.1027 | 0.0348 | -0.0025 | 0.1269 | 0.1398 | 0.0508 | 0.1294 | -0.0152 | 0.1036 | -0.0135 | 0.0798 | 0.0665 | 0.0082 | -0.1023 | -0.0692 | -0.0364 | -0.0816 | 0.0520 | 0.0528 | -0.0143 | -0.0634 | -0.1857 | -0.0618 | 0.0793 | 0.0422 | -0.0700 | 0.0387 | -0.0466 | 0.0252 | -0.1676 | 0.0035 | 0.0018 | -0.0691 | -0.0805 | 0.0135 | -0.0435 | 0.0130 | -0.0326 | -0.0892 | -0.0309 | -0.0749 | 0.0331 | 0.0460 | -0.0858 | 0.0394 | 0.1559 | 0.0817 | 0.4097 | 0.1336 | -0.3588 | 0.1318 | -0.3772 | -0.1308 | -0.0826 | -0.0331 | 0.0415 | -0.0187 | -0.0001 |
| 2073bp1 | 2073bp1 | Biopsy | H. sapiens | 1 | #E7298A | 2073bp1 | 0.1095 | 0.0297 | 0.1095 | 0.0297 | -0.0168 | -0.0312 | -0.1127 | 0.2157 | 0.0716 | 0.0090 | 0.0036 | 0.1076 | -0.0606 | 0.0459 | -0.0421 | -0.0085 | -0.0061 | 0.0979 | 0.0347 | -0.0811 | -0.0709 | -0.0008 | -0.0488 | -0.0190 | -0.0059 | -0.0105 | -0.0246 | 0.0168 | 0.0229 | -0.1365 | -0.0169 | 0.0913 | 0.0169 | -0.2231 | 0.0142 | 0.0000 | -0.0816 | 0.0967 | 0.0472 | -0.0566 | 0.0913 | -0.1129 | -0.0352 | -0.1145 | -0.0046 | 0.0720 | -0.1198 | 0.0760 | 0.1667 | 0.0520 | 0.1245 | -0.0996 | 0.0233 | -0.1242 | 0.0103 | 0.0581 | 0.0899 | -0.2126 | 0.1165 | -0.0348 | -0.1492 | 0.1367 | 0.1117 | 0.0098 | -0.0406 | -0.2125 | 0.1929 | -0.0697 | 0.0329 | 0.2863 | -0.1368 | 0.0863 | 0.4124 | 0.0174 | -0.0302 | -0.1109 | -0.2548 | -0.0038 | -0.0956 | -0.0973 | -0.0550 | 0.1536 | -0.0232 | 0.0464 | 0.0391 | -0.0517 | -0.0201 | 0.0099 | -0.0658 | 0.0398 | 0.0046 | 0.0012 | 0.0420 | 0.0284 | 0.0094 | 0.0035 | 0.0277 | -0.0034 | 0.0050 | 0.0092 |
| 2068m2 | 2068m2 | Monocytes | H. sapiens | 1 | #7570B3 | 2068m2 | -0.0372 | -0.1164 | -0.0372 | -0.1164 | -0.0032 | -0.1618 | -0.0432 | -0.0614 | 0.0801 | -0.0283 | 0.1108 | 0.0254 | -0.0951 | 0.2321 | -0.0197 | -0.0397 | -0.0439 | 0.1090 | -0.1118 | 0.0545 | 0.1946 | 0.0594 | -0.0420 | 0.0341 | -0.0074 | -0.0852 | 0.1147 | 0.0595 | 0.1115 | -0.0066 | -0.0132 | 0.0537 | -0.0687 | 0.0788 | 0.0693 | -0.1115 | 0.0917 | 0.0134 | 0.0501 | 0.0309 | 0.1821 | 0.1854 | 0.1367 | -0.0883 | -0.0084 | -0.1632 | 0.0826 | -0.0551 | 0.0800 | 0.2099 | -0.1260 | 0.1902 | 0.1922 | -0.1091 | -0.0013 | -0.0304 | 0.0855 | -0.0669 | 0.2232 | -0.0625 | -0.0699 | -0.0020 | -0.0250 | 0.0246 | 0.0804 | 0.2980 | 0.0498 | -0.2796 | 0.0749 | 0.0717 | 0.1819 | 0.0959 | -0.0410 | -0.0187 | -0.1493 | 0.1510 | -0.0715 | -0.0116 | 0.0594 | -0.0399 | 0.1482 | 0.0558 | -0.0841 | -0.0866 | 0.0113 | -0.0371 | -0.0121 | -0.0495 | -0.0619 | 0.0869 | -0.0459 | 0.0452 | -0.0232 | -0.0579 | 0.0137 | 0.0117 | -0.0061 | -0.0146 | -0.0113 | 0.0065 |
| 2068n2 | 2068n2 | Neutrophils | H. sapiens | 1 | #D95F02 | 2068n2 | -0.1230 | 0.1080 | -0.1230 | 0.1080 | -0.1112 | 0.0141 | -0.0723 | -0.0685 | 0.0761 | 0.0463 | 0.1141 | 0.0549 | -0.0682 | 0.1902 | -0.0142 | -0.0351 | -0.0295 | 0.0701 | -0.0801 | 0.2719 | 0.2124 | 0.2619 | -0.0366 | -0.0459 | -0.0140 | 0.1867 | -0.2691 | -0.1963 | -0.2437 | 0.0122 | -0.1071 | -0.0754 | -0.0117 | -0.1223 | -0.1667 | 0.0891 | -0.3276 | -0.3446 | 0.1175 | -0.0227 | -0.0032 | -0.0034 | 0.0043 | -0.0953 | -0.1058 | 0.0901 | 0.0044 | -0.1204 | 0.0218 | -0.1903 | -0.1213 | -0.0142 | -0.0770 | 0.0032 | 0.0327 | -0.0561 | 0.1933 | -0.0254 | -0.0109 | -0.0344 | 0.0041 | 0.0450 | -0.0002 | -0.0436 | 0.0036 | 0.0043 | -0.0617 | -0.0114 | -0.0229 | -0.0147 | 0.0451 | -0.0079 | 0.0233 | -0.0203 | 0.0074 | -0.0078 | 0.0065 | 0.0068 | 0.0048 | -0.0100 | -0.0151 | 0.0000 | 0.0098 | -0.0196 | 0.0048 | -0.0041 | 0.0054 | 0.0142 | -0.0015 | -0.0021 | -0.0044 | -0.0015 | -0.0007 | 0.0065 | -0.0020 | 0.0031 | -0.0047 | -0.0026 | 0.0012 | -0.0005 |
| 2068e2 | 2068e2 | Eosinophils | H. sapiens | 1 | #66A61E | 2068e2 | -0.0918 | 0.0136 | -0.0918 | 0.0136 | 0.2277 | 0.0469 | -0.1109 | -0.0544 | 0.0648 | 0.0014 | 0.0847 | 0.0888 | -0.1436 | 0.2267 | 0.0506 | -0.0818 | -0.0221 | 0.0088 | -0.0466 | 0.0831 | 0.1871 | 0.1166 | -0.0778 | -0.0070 | -0.0664 | -0.0514 | -0.0074 | -0.0160 | 0.1653 | 0.0816 | 0.0602 | 0.0714 | -0.0544 | 0.1304 | 0.0102 | -0.1805 | 0.0942 | 0.1623 | -0.0951 | -0.1449 | 0.0411 | 0.0619 | -0.2104 | -0.1390 | 0.0433 | 0.1479 | -0.0181 | -0.1624 | -0.1038 | -0.0661 | -0.0476 | -0.1306 | -0.0092 | -0.0142 | 0.1377 | 0.0742 | -0.2418 | 0.1729 | 0.0736 | 0.0924 | -0.0262 | -0.0641 | 0.1124 | 0.1926 | 0.0656 | -0.3281 | -0.0392 | 0.2196 | -0.0747 | 0.1031 | 0.0637 | -0.0813 | -0.0086 | -0.0291 | -0.0098 | -0.0163 | 0.0399 | -0.0512 | 0.0301 | 0.0305 | -0.0077 | -0.0687 | -0.0159 | -0.0801 | 0.0420 | -0.0600 | 0.0533 | -0.0566 | -0.0717 | 0.0811 | 0.0424 | -0.0869 | 0.0071 | 0.0353 | 0.0408 | 0.0274 | 0.0024 | -0.0017 | 0.0018 | 0.0035 |
| 2072m2 | 2072m2 | Monocytes | H. sapiens | 1 | #7570B3 | 2072m2 | -0.0414 | -0.1047 | -0.0414 | -0.1047 | -0.0052 | -0.1535 | 0.0756 | 0.0170 | 0.0579 | -0.0476 | 0.1043 | -0.0269 | 0.0147 | 0.0294 | -0.1235 | 0.0638 | -0.0329 | 0.0726 | 0.0037 | 0.0843 | -0.0365 | 0.0162 | 0.0100 | -0.0602 | 0.0557 | -0.0663 | 0.0490 | 0.0653 | 0.0124 | 0.0117 | 0.0309 | 0.0434 | -0.0068 | 0.0325 | 0.0687 | -0.0239 | -0.0474 | -0.0475 | 0.1501 | 0.0695 | 0.0852 | 0.0947 | -0.1634 | -0.0946 | 0.0344 | 0.0567 | 0.0255 | -0.0631 | 0.0224 | 0.0687 | 0.0308 | 0.0825 | 0.0723 | -0.0366 | -0.0205 | 0.0234 | -0.0648 | 0.0837 | -0.0544 | -0.0462 | 0.0025 | 0.0707 | -0.0605 | 0.0094 | -0.2587 | 0.1383 | 0.0021 | 0.1157 | -0.2269 | -0.2192 | -0.2633 | -0.0884 | 0.1594 | 0.0444 | 0.1412 | -0.0875 | -0.0308 | 0.1360 | 0.0933 | -0.0562 | -0.0667 | -0.1100 | -0.2801 | 0.1048 | 0.3484 | 0.2464 | 0.1464 | -0.2040 | 0.0558 | -0.0724 | 0.0524 | -0.0011 | -0.0153 | -0.0015 | -0.0331 | -0.0392 | 0.0244 | 0.0188 | 0.0233 | -0.0131 |
| 2072n2 | 2072n2 | Neutrophils | H. sapiens | 1 | #D95F02 | 2072n2 | -0.1259 | 0.1220 | -0.1259 | 0.1220 | -0.1220 | 0.0333 | 0.0763 | 0.0300 | 0.0336 | 0.0443 | 0.1322 | -0.0224 | 0.0280 | -0.0049 | -0.0841 | 0.0203 | -0.0052 | 0.0507 | 0.0234 | 0.1602 | -0.1016 | 0.1103 | 0.1018 | -0.1362 | 0.0939 | 0.0276 | 0.0003 | 0.1355 | -0.0403 | 0.1755 | -0.0224 | -0.0329 | -0.1424 | -0.0736 | 0.0899 | -0.0536 | 0.2344 | 0.0491 | -0.0550 | -0.0756 | 0.0145 | -0.0667 | 0.1687 | -0.0045 | -0.1249 | 0.1750 | -0.0341 | -0.1479 | -0.0210 | 0.0327 | 0.0173 | -0.0033 | 0.0509 | 0.0116 | 0.0337 | -0.1337 | 0.0366 | -0.0913 | -0.1632 | 0.0549 | 0.0499 | -0.1334 | -0.1115 | 0.1178 | -0.2108 | -0.0112 | 0.3027 | 0.0969 | 0.2138 | 0.1623 | -0.2209 | 0.1423 | -0.2767 | 0.0378 | -0.1181 | -0.0342 | -0.1361 | 0.0799 | 0.1593 | 0.0719 | -0.0521 | -0.0402 | -0.0113 | -0.0410 | -0.0758 | 0.0148 | -0.0131 | 0.0446 | -0.0100 | -0.0002 | 0.0048 | -0.0223 | -0.0031 | 0.0064 | 0.0046 | 0.0039 | 0.0032 | -0.0102 | -0.0039 | 0.0019 |
| 2072e2 | 2072e2 | Eosinophils | H. sapiens | 1 | #66A61E | 2072e2 | -0.0976 | 0.0396 | -0.0976 | 0.0396 | 0.2171 | 0.0694 | 0.0591 | 0.0724 | 0.0156 | -0.0219 | 0.0861 | -0.0119 | -0.0076 | -0.0769 | -0.0809 | 0.0630 | -0.0542 | 0.0331 | 0.0253 | 0.0708 | -0.0721 | 0.0584 | 0.0513 | -0.1584 | 0.0110 | -0.0309 | 0.0355 | 0.0741 | 0.0789 | 0.0835 | -0.0288 | 0.0031 | -0.0715 | 0.0381 | 0.0008 | -0.0391 | -0.0609 | -0.1038 | -0.0231 | -0.1626 | -0.0543 | -0.0230 | -0.1430 | 0.0260 | 0.0831 | -0.1803 | -0.0466 | 0.0552 | -0.0394 | 0.0610 | 0.0389 | -0.0660 | -0.0782 | 0.0320 | 0.0563 | -0.1258 | 0.0862 | 0.0067 | -0.0241 | -0.0282 | -0.0612 | -0.0750 | -0.0739 | -0.0538 | -0.0926 | 0.1056 | 0.0214 | -0.0954 | -0.0732 | 0.1123 | -0.0879 | 0.2371 | 0.0354 | -0.1967 | 0.3473 | 0.2600 | 0.0866 | -0.4664 | -0.1553 | -0.0701 | -0.0699 | -0.0545 | 0.0742 | -0.0838 | 0.0672 | -0.0075 | 0.0139 | 0.0589 | 0.0505 | 0.1114 | 0.0338 | 0.0482 | -0.0333 | 0.0015 | 0.0289 | 0.0062 | -0.0101 | 0.0008 | 0.0162 | 0.0065 |
| 2073m2 | 2073m2 | Monocytes | H. sapiens | 1 | #7570B3 | 2073m2 | -0.0380 | -0.1164 | -0.0380 | -0.1164 | -0.0058 | -0.1531 | -0.0255 | -0.0293 | 0.0210 | -0.1136 | -0.1060 | -0.0405 | 0.0255 | 0.0784 | -0.0246 | -0.0294 | 0.0592 | 0.1692 | -0.0981 | -0.0109 | 0.0500 | -0.0132 | 0.0172 | -0.0600 | 0.0479 | -0.0518 | -0.0242 | 0.0408 | -0.0116 | -0.0739 | -0.0659 | -0.1298 | -0.0250 | -0.0237 | 0.1829 | 0.0777 | 0.0615 | -0.0195 | 0.0193 | -0.0641 | -0.0589 | -0.0588 | -0.0345 | -0.0689 | 0.0505 | -0.0199 | 0.0947 | 0.0465 | -0.0433 | 0.0311 | 0.0225 | 0.0240 | -0.0327 | -0.0580 | 0.0153 | 0.1282 | 0.0480 | -0.0653 | -0.0040 | -0.0619 | 0.0249 | -0.0014 | 0.1944 | -0.0034 | -0.0293 | -0.0170 | 0.0461 | 0.0181 | -0.0183 | 0.1034 | 0.0680 | -0.0217 | -0.0380 | -0.0281 | -0.0537 | 0.0400 | 0.0416 | -0.0195 | -0.0945 | 0.0866 | 0.0597 | -0.0212 | 0.2376 | -0.1780 | -0.0008 | 0.2503 | 0.0743 | 0.1696 | 0.3194 | -0.3947 | 0.1792 | -0.3427 | 0.0256 | 0.1319 | -0.0734 | -0.0785 | -0.0665 | 0.0731 | -0.0451 | -0.0097 |
| 2073n2 | 2073n2 | Neutrophils | H. sapiens | 1 | #D95F02 | 2073n2 | -0.1247 | 0.1030 | -0.1247 | 0.1030 | -0.1292 | 0.0299 | -0.0469 | -0.0191 | 0.0195 | -0.0879 | -0.1339 | -0.0066 | -0.0363 | 0.0319 | 0.0709 | 0.0436 | 0.0201 | 0.1298 | -0.0846 | 0.0261 | -0.0623 | -0.0531 | 0.0585 | -0.1307 | 0.1723 | -0.1359 | -0.1088 | -0.0608 | -0.0713 | -0.0995 | 0.0561 | 0.0706 | 0.0713 | 0.0131 | -0.0278 | -0.0235 | -0.0001 | 0.0309 | -0.0475 | -0.0882 | -0.0521 | 0.0989 | 0.0072 | 0.0538 | 0.0547 | -0.1813 | -0.1922 | -0.0767 | 0.1355 | -0.0747 | -0.1833 | 0.0818 | 0.0047 | -0.1569 | -0.1013 | 0.2921 | -0.1345 | 0.0242 | -0.1164 | 0.1480 | -0.0061 | -0.1502 | 0.0151 | 0.0097 | -0.0193 | -0.0031 | 0.1593 | -0.1216 | 0.0590 | 0.0866 | 0.0308 | -0.1160 | -0.0454 | -0.2012 | 0.2692 | 0.0852 | 0.1053 | 0.2716 | -0.1174 | -0.0212 | -0.0369 | 0.0271 | 0.0606 | 0.1722 | -0.0861 | 0.1258 | -0.1089 | -0.1343 | -0.0818 | 0.1104 | -0.0184 | -0.0168 | 0.0049 | -0.0086 | 0.0146 | 0.0070 | 0.0094 | -0.0041 | 0.0035 | -0.0065 |
| 2073e2 | 2073e2 | Eosinophils | H. sapiens | 1 | #66A61E | 2073e2 | -0.0920 | 0.0159 | -0.0920 | 0.0159 | 0.2199 | 0.0608 | -0.0580 | -0.0088 | 0.0360 | -0.1028 | -0.0562 | 0.0226 | -0.0058 | 0.0317 | 0.0985 | -0.0303 | -0.0448 | 0.1505 | -0.0222 | -0.0790 | 0.0651 | -0.0372 | 0.0434 | -0.1165 | 0.0313 | -0.0819 | -0.0980 | -0.0011 | -0.0029 | 0.1343 | -0.0383 | 0.0463 | 0.1099 | -0.0402 | 0.0522 | -0.1448 | -0.1321 | 0.0219 | 0.0445 | 0.0718 | -0.0854 | -0.0236 | 0.0890 | 0.0398 | 0.0205 | 0.0675 | 0.1369 | 0.0743 | 0.1072 | 0.0113 | 0.0448 | -0.0319 | 0.0981 | 0.0344 | 0.0903 | -0.1070 | -0.1487 | -0.0244 | 0.0021 | 0.0435 | 0.0062 | -0.0582 | -0.0150 | -0.0774 | 0.0383 | -0.0551 | 0.0205 | -0.0219 | 0.0167 | -0.0032 | 0.0179 | -0.0278 | -0.0180 | 0.0055 | -0.0654 | -0.0781 | -0.0365 | 0.0723 | -0.0203 | -0.0063 | -0.0324 | -0.0174 | 0.0902 | -0.0666 | -0.0266 | 0.1666 | -0.0072 | 0.0139 | 0.2749 | -0.1442 | -0.1093 | 0.6576 | 0.0113 | 0.0659 | -0.0311 | 0.0326 | 0.0542 | -0.0371 | 0.0063 | -0.0028 |
| 2068m3 | 2068m3 | Monocytes | H. sapiens | 1 | #7570B3 | 2068m3 | -0.0422 | -0.0995 | -0.0422 | -0.0995 | -0.0097 | -0.1570 | 0.0909 | 0.0220 | -0.0335 | 0.0712 | 0.0829 | -0.0194 | -0.0163 | 0.0153 | -0.1021 | 0.0541 | 0.0068 | -0.0474 | 0.0609 | 0.0768 | 0.0146 | 0.0527 | 0.0100 | 0.0447 | 0.0208 | -0.0550 | 0.0511 | 0.0273 | -0.0273 | -0.1391 | 0.0775 | 0.0551 | 0.1301 | 0.1361 | -0.0697 | 0.0238 | -0.2130 | 0.2169 | -0.1016 | 0.2376 | -0.0068 | 0.0550 | 0.0781 | 0.2067 | 0.1315 | -0.0550 | -0.0495 | -0.0088 | 0.0509 | -0.0593 | -0.1898 | 0.0077 | 0.1560 | -0.0468 | 0.0593 | -0.2506 | 0.1152 | -0.1103 | -0.0100 | -0.2601 | 0.0420 | 0.0982 | 0.0921 | -0.0558 | 0.0844 | -0.2084 | 0.1678 | 0.1868 | 0.2094 | 0.0433 | 0.0851 | -0.1577 | -0.1737 | -0.1599 | 0.1072 | -0.1254 | 0.0150 | -0.1676 | -0.0116 | -0.0297 | -0.0760 | -0.0440 | -0.0093 | 0.0890 | 0.0695 | 0.0303 | 0.0577 | -0.0221 | -0.0011 | -0.0544 | 0.0583 | -0.0200 | 0.0061 | 0.0137 | 0.0461 | -0.0046 | -0.0054 | 0.0021 | 0.0143 | -0.0042 |
| 2068n3 | 2068n3 | Neutrophils | H. sapiens | 1 | #D95F02 | 2068n3 | -0.1273 | 0.1136 | -0.1273 | 0.1136 | -0.1133 | 0.0238 | -0.0158 | -0.0272 | -0.0171 | 0.1159 | 0.0533 | -0.0240 | 0.0345 | 0.0583 | -0.1495 | 0.0649 | 0.0340 | 0.0677 | -0.0281 | 0.2036 | -0.0167 | 0.1517 | -0.1247 | 0.0496 | 0.0353 | 0.1454 | -0.1124 | -0.0290 | -0.1309 | -0.0275 | 0.0961 | -0.0873 | 0.0949 | -0.0263 | 0.0182 | 0.0784 | 0.0351 | 0.1838 | -0.1267 | 0.0732 | -0.1224 | -0.1387 | 0.0690 | 0.2261 | 0.1513 | -0.1233 | 0.0376 | 0.2838 | -0.0996 | 0.1535 | 0.0536 | -0.0442 | 0.0534 | 0.0068 | 0.0209 | 0.2149 | -0.2342 | -0.0164 | 0.0486 | -0.1060 | -0.1383 | -0.1550 | -0.1567 | 0.0043 | 0.0048 | 0.0690 | -0.0695 | -0.0546 | -0.2522 | 0.1497 | 0.0133 | -0.1595 | 0.0725 | 0.1288 | -0.1154 | 0.0366 | -0.1147 | -0.1334 | 0.1543 | 0.0403 | -0.0363 | -0.0813 | 0.0010 | -0.0203 | 0.0065 | -0.0137 | -0.0164 | -0.0567 | -0.0135 | 0.0115 | -0.0150 | 0.0106 | -0.0260 | 0.0028 | 0.0146 | -0.0161 | 0.0149 | 0.0002 | -0.0042 | 0.0089 |
| 2068e3 | 2068e3 | Eosinophils | H. sapiens | 1 | #66A61E | 2068e3 | -0.0983 | 0.0304 | -0.0983 | 0.0304 | 0.2289 | 0.0695 | 0.0363 | 0.0281 | -0.0196 | 0.0554 | 0.0691 | -0.0130 | -0.0068 | -0.0051 | -0.0675 | 0.0080 | 0.0574 | -0.0377 | 0.0548 | 0.0483 | 0.0419 | 0.0805 | -0.0825 | 0.0651 | -0.0073 | -0.0218 | -0.0122 | -0.0058 | -0.0488 | -0.1507 | 0.1278 | -0.0227 | 0.0568 | 0.1090 | -0.0514 | 0.0637 | 0.1179 | 0.1800 | -0.2243 | -0.0576 | -0.0220 | -0.0732 | -0.0676 | 0.0417 | 0.0358 | 0.0493 | -0.0695 | -0.0595 | -0.1430 | -0.1356 | -0.1235 | -0.0468 | -0.0638 | -0.0497 | 0.0501 | -0.0767 | 0.0991 | -0.0914 | 0.0723 | -0.1174 | -0.1583 | 0.0793 | -0.0648 | -0.0425 | 0.0324 | 0.1179 | -0.1553 | -0.0554 | -0.0596 | 0.0184 | -0.0973 | 0.3225 | -0.0268 | 0.0539 | 0.0192 | -0.0155 | 0.0656 | 0.4560 | -0.1436 | -0.0419 | 0.0542 | 0.1043 | -0.0008 | 0.0707 | 0.0665 | 0.0326 | 0.0191 | 0.1521 | 0.1993 | -0.0076 | -0.0501 | 0.0216 | -0.0219 | -0.2094 | -0.0832 | -0.0553 | -0.0025 | -0.0023 | 0.0039 | 0.0064 |
| 2072m3 | 2072m3 | Monocytes | H. sapiens | 1 | #7570B3 | 2072m3 | -0.0456 | -0.1013 | -0.0456 | -0.1013 | -0.0172 | -0.1496 | 0.0746 | 0.0301 | 0.0029 | -0.0521 | 0.0512 | -0.0635 | -0.0271 | -0.0198 | -0.1669 | 0.0920 | 0.0050 | 0.0360 | 0.0309 | 0.0831 | -0.0864 | 0.0266 | 0.0032 | -0.0512 | 0.0441 | -0.0730 | 0.0496 | 0.1071 | 0.0433 | -0.0285 | 0.0043 | -0.0330 | 0.0358 | 0.0528 | 0.0371 | 0.0520 | -0.1315 | 0.0129 | 0.0641 | 0.0617 | -0.0231 | 0.0643 | -0.1230 | -0.0359 | 0.0569 | 0.0679 | -0.0099 | -0.0907 | 0.0586 | -0.0411 | -0.0647 | 0.0247 | 0.1369 | 0.0416 | 0.0364 | 0.0952 | -0.0972 | 0.0669 | 0.0178 | -0.0538 | 0.0499 | 0.0353 | 0.0373 | -0.0651 | -0.1509 | 0.0890 | -0.0345 | 0.0925 | -0.1620 | -0.1291 | -0.1570 | -0.0604 | 0.0796 | -0.0552 | 0.0592 | -0.2040 | -0.0055 | 0.0457 | 0.0439 | 0.0401 | 0.2207 | 0.1736 | 0.2497 | -0.2476 | -0.3911 | -0.2631 | -0.1102 | 0.2403 | -0.0531 | 0.1619 | -0.1292 | 0.0335 | 0.0043 | 0.0529 | 0.0029 | 0.0264 | -0.0032 | -0.0364 | -0.0158 | 0.0139 |
| 2072n3 | 2072n3 | Neutrophils | H. sapiens | 1 | #D95F02 | 2072n3 | -0.1289 | 0.1251 | -0.1289 | 0.1251 | -0.1331 | 0.0361 | 0.0313 | 0.0342 | 0.0174 | -0.0397 | 0.0220 | -0.0253 | -0.0810 | -0.0339 | -0.0783 | 0.1147 | -0.1037 | -0.0085 | 0.0414 | 0.1646 | -0.1182 | 0.0301 | 0.0368 | -0.0759 | 0.1218 | -0.0645 | 0.0426 | 0.1548 | 0.0370 | 0.1113 | -0.0030 | 0.0206 | -0.0999 | -0.0041 | 0.0655 | -0.0577 | 0.1024 | 0.0870 | -0.0631 | -0.1064 | -0.0971 | 0.0013 | 0.2236 | -0.0161 | -0.0443 | 0.0705 | 0.2069 | 0.1225 | 0.2005 | -0.1943 | -0.2061 | 0.0250 | -0.0747 | -0.1339 | -0.0156 | 0.1977 | -0.0557 | -0.0092 | -0.0003 | 0.0155 | 0.0074 | 0.1737 | 0.0888 | -0.1155 | 0.2324 | -0.1060 | -0.1910 | 0.0263 | 0.1888 | -0.3116 | -0.0040 | 0.1427 | 0.1826 | 0.1611 | -0.0290 | 0.0066 | 0.0598 | -0.1789 | -0.0588 | -0.0325 | 0.0458 | 0.0080 | -0.0629 | -0.0043 | 0.0807 | -0.0019 | 0.0382 | -0.0011 | 0.0060 | -0.0030 | 0.0114 | -0.0191 | 0.0200 | -0.0047 | 0.0150 | 0.0179 | -0.0096 | 0.0090 | -0.0043 | -0.0068 |
| 2072e3 | 2072e3 | Eosinophils | H. sapiens | 1 | #66A61E | 2072e3 | -0.0944 | 0.0314 | -0.0944 | 0.0314 | 0.2219 | 0.0674 | 0.0446 | 0.0659 | 0.0119 | -0.0539 | 0.0525 | -0.0055 | -0.0422 | -0.0444 | -0.0826 | 0.0270 | 0.0068 | -0.0841 | 0.0611 | 0.1123 | -0.0994 | 0.0968 | 0.0104 | -0.1438 | 0.0610 | -0.0791 | 0.0247 | 0.1956 | 0.1618 | 0.0597 | -0.0337 | -0.0011 | -0.0781 | -0.0450 | -0.0229 | -0.0977 | -0.2128 | -0.1712 | -0.0083 | -0.2027 | -0.1301 | -0.0395 | -0.1945 | 0.0558 | 0.1173 | -0.3529 | -0.0773 | 0.1464 | -0.0748 | 0.1170 | 0.0511 | 0.0394 | -0.1125 | 0.0837 | -0.1088 | -0.0522 | 0.1570 | 0.0348 | -0.0194 | 0.0002 | 0.1124 | 0.0324 | 0.1117 | 0.0205 | 0.1099 | -0.0314 | 0.0384 | -0.0526 | 0.0789 | -0.0251 | 0.1410 | -0.1621 | -0.0324 | 0.1474 | -0.2510 | -0.1658 | -0.0690 | 0.2444 | 0.0729 | 0.0581 | -0.0194 | 0.0158 | -0.1171 | 0.0687 | -0.0502 | -0.0147 | -0.0370 | -0.0129 | -0.0606 | -0.0197 | 0.0189 | -0.0604 | 0.0195 | 0.0174 | 0.0096 | 0.0097 | -0.0155 | -0.0159 | -0.0214 | 0.0041 |
| 2159bp1 | 2159bp1 | Biopsy | H. sapiens | 1 | #E7298A | 2159bp1 | 0.1303 | 0.0404 | 0.1303 | 0.0404 | 0.0096 | -0.0337 | -0.2011 | -0.0046 | 0.0344 | 0.0326 | 0.1112 | -0.1519 | -0.0010 | -0.0757 | 0.0263 | 0.0228 | 0.0099 | -0.0483 | -0.0514 | -0.0019 | 0.0225 | -0.0897 | -0.0056 | 0.0121 | 0.0988 | 0.0485 | -0.0354 | 0.0831 | 0.1342 | 0.0119 | 0.1920 | -0.1015 | -0.0849 | 0.1218 | -0.1084 | -0.0348 | 0.0456 | -0.2809 | -0.1106 | 0.2458 | -0.3781 | 0.0008 | 0.0911 | -0.0191 | -0.0064 | 0.0535 | -0.0022 | -0.1320 | -0.0928 | 0.0194 | -0.0088 | 0.0468 | -0.0474 | -0.0542 | -0.0414 | 0.0180 | -0.0717 | -0.1471 | 0.4179 | 0.0698 | 0.1922 | 0.0354 | 0.0148 | -0.0673 | -0.0688 | -0.1483 | 0.2216 | -0.0806 | -0.1278 | 0.0105 | -0.0219 | 0.0374 | 0.0141 | 0.1561 | 0.0978 | 0.0380 | 0.0403 | 0.0054 | 0.0017 | -0.0728 | -0.0072 | -0.0610 | -0.0076 | 0.0421 | -0.0512 | 0.0218 | 0.0680 | 0.0119 | -0.0130 | 0.0005 | 0.0052 | 0.0007 | 0.0008 | -0.0060 | 0.0046 | -0.0128 | -0.0069 | 0.0000 | -0.0015 | -0.0095 |
| 2073m3 | 2073m3 | Monocytes | H. sapiens | 1 | #7570B3 | 2073m3 | -0.0409 | -0.1194 | -0.0409 | -0.1194 | 0.0077 | -0.1531 | 0.0270 | -0.0486 | 0.0423 | -0.0619 | -0.0327 | -0.0351 | 0.0920 | 0.0419 | 0.0239 | -0.0494 | 0.0545 | 0.1474 | 0.0024 | -0.0502 | -0.0121 | -0.0363 | 0.0083 | -0.0611 | 0.1238 | -0.0576 | -0.0130 | -0.0052 | -0.1513 | -0.0313 | 0.0361 | -0.0323 | 0.0720 | 0.0069 | 0.0587 | 0.0520 | 0.1042 | 0.0158 | 0.0305 | 0.0611 | -0.0436 | -0.0337 | -0.0312 | -0.0182 | 0.0286 | 0.0572 | 0.0623 | 0.1106 | -0.2291 | 0.0006 | 0.0436 | -0.0564 | -0.2484 | -0.0649 | 0.0772 | 0.0049 | 0.1628 | -0.0050 | -0.0271 | -0.1339 | -0.0028 | 0.1612 | 0.1400 | 0.1260 | -0.0139 | -0.0181 | -0.0217 | 0.0842 | 0.0133 | -0.0229 | 0.0197 | 0.0578 | -0.0325 | 0.0409 | 0.0061 | 0.2207 | 0.0568 | 0.0071 | 0.0741 | 0.0853 | 0.0134 | -0.0180 | -0.1144 | 0.0284 | -0.1441 | -0.0069 | -0.0720 | -0.1039 | -0.2282 | 0.2329 | 0.1400 | 0.2258 | 0.4242 | 0.1233 | -0.2377 | -0.0024 | 0.0051 | 0.0243 | -0.0064 | -0.0225 |
| 2073n3 | 2073n3 | Neutrophils | H. sapiens | 1 | #D95F02 | 2073n3 | -0.1226 | 0.0905 | -0.1226 | 0.0905 | -0.1036 | 0.0335 | -0.0183 | -0.0363 | 0.0322 | 0.0104 | -0.0155 | -0.0086 | 0.1204 | 0.0426 | 0.0707 | -0.1303 | 0.1524 | 0.1777 | -0.0153 | -0.1246 | -0.0459 | -0.0678 | 0.1042 | -0.1459 | 0.1310 | -0.1121 | -0.0170 | -0.0490 | -0.0881 | 0.0505 | -0.0074 | 0.0806 | 0.0531 | 0.0646 | -0.1034 | 0.0580 | -0.0502 | 0.0265 | -0.2083 | 0.0388 | 0.1060 | 0.0416 | -0.0516 | 0.0182 | -0.0360 | -0.0529 | -0.3298 | -0.1880 | -0.1161 | 0.0963 | 0.0524 | 0.0322 | 0.0930 | 0.1014 | -0.1112 | -0.0239 | 0.0686 | 0.0101 | 0.1136 | 0.0683 | 0.0049 | 0.1243 | -0.1290 | 0.1735 | 0.1114 | 0.0246 | -0.0917 | 0.0990 | -0.0385 | -0.1850 | 0.0191 | 0.1056 | 0.0767 | 0.1558 | -0.1826 | -0.1830 | -0.0627 | -0.3053 | -0.0676 | -0.0204 | 0.0446 | 0.0347 | 0.1103 | 0.0194 | -0.0579 | 0.2315 | -0.0505 | -0.0546 | 0.0816 | 0.0833 | -0.0067 | -0.0493 | -0.0456 | -0.0632 | -0.0187 | -0.0060 | 0.0133 | 0.0043 | 0.0046 | 0.0046 |
| 2073e3 | 2073e3 | Eosinophils | H. sapiens | 1 | #66A61E | 2073e3 | -0.0973 | 0.0174 | -0.0973 | 0.0174 | 0.2228 | 0.0721 | -0.0334 | -0.0177 | 0.0134 | -0.0404 | -0.0544 | -0.0189 | 0.0688 | 0.0478 | 0.0407 | -0.0886 | 0.0896 | 0.0694 | 0.0181 | -0.0944 | -0.0354 | -0.0304 | 0.0111 | -0.0836 | 0.0903 | -0.0918 | -0.1221 | 0.0286 | -0.1074 | 0.0207 | 0.0238 | 0.0138 | 0.1522 | -0.0158 | 0.0440 | -0.0424 | -0.0244 | -0.0152 | 0.0260 | 0.0404 | -0.0812 | -0.0218 | 0.0565 | 0.0375 | 0.0309 | 0.1190 | 0.1366 | 0.0654 | 0.0585 | 0.0102 | 0.0729 | -0.0163 | 0.1167 | 0.0528 | 0.0803 | -0.2371 | -0.0067 | -0.0543 | 0.0922 | -0.0005 | -0.0949 | -0.0363 | -0.1244 | -0.0367 | 0.0664 | 0.0177 | -0.1286 | -0.0397 | 0.0168 | -0.0954 | -0.0820 | 0.1343 | 0.0083 | -0.0192 | 0.1178 | 0.0464 | -0.0293 | 0.1057 | 0.0429 | 0.0317 | 0.1202 | 0.0305 | 0.0274 | 0.0472 | -0.0554 | -0.0698 | -0.0462 | -0.2203 | -0.4000 | -0.2550 | -0.0361 | -0.3006 | -0.1412 | 0.2839 | 0.1720 | 0.0731 | -0.0376 | -0.0081 | 0.0015 | -0.0008 |
| 2162m1 | 2162m1 | Monocytes | H. sapiens | 1 | #7570B3 | 2162m1 | -0.0284 | -0.1179 | -0.0284 | -0.1179 | -0.0041 | -0.1603 | 0.0149 | -0.0292 | -0.0414 | 0.1456 | 0.0432 | 0.0388 | -0.1434 | 0.1355 | 0.0381 | -0.0147 | 0.0098 | -0.0994 | -0.0296 | -0.0325 | 0.0928 | -0.0637 | 0.1296 | 0.1210 | 0.1240 | -0.0813 | 0.1884 | 0.0627 | -0.0338 | 0.0237 | -0.0535 | 0.0947 | 0.0045 | -0.2176 | -0.0862 | -0.0882 | 0.0284 | -0.0900 | 0.0892 | -0.0362 | -0.0726 | 0.1478 | 0.2875 | 0.2449 | -0.0508 | -0.0454 | -0.2339 | 0.0008 | -0.1535 | -0.0466 | -0.0074 | -0.3100 | -0.2547 | 0.2262 | 0.1639 | 0.0057 | -0.2011 | 0.1384 | -0.0041 | -0.0086 | -0.1346 | 0.1262 | 0.0293 | -0.0396 | -0.0819 | 0.0664 | 0.0208 | -0.1519 | 0.0634 | -0.0460 | -0.0362 | -0.0254 | 0.0618 | -0.0227 | 0.0524 | -0.0551 | -0.0728 | 0.0374 | 0.0043 | 0.0016 | 0.0020 | 0.0333 | 0.0338 | -0.0711 | 0.0113 | 0.0440 | 0.0371 | 0.0054 | 0.0148 | -0.0667 | 0.0157 | -0.0504 | -0.0374 | 0.0016 | 0.0098 | -0.0090 | -0.0162 | -0.0047 | 0.0063 | 0.0057 |
| 2162n1 | 2162n1 | Neutrophils | H. sapiens | 1 | #D95F02 | 2162n1 | -0.1125 | 0.0869 | -0.1125 | 0.0869 | -0.0818 | -0.0115 | -0.0448 | -0.0265 | -0.0074 | 0.1673 | 0.0967 | 0.0369 | 0.1050 | 0.0655 | -0.0750 | -0.0607 | 0.1638 | -0.0238 | 0.0399 | -0.1213 | 0.0640 | -0.1741 | 0.0588 | 0.3548 | 0.0129 | -0.0039 | 0.2319 | -0.0364 | -0.0566 | 0.3481 | -0.2343 | 0.1456 | 0.0717 | -0.1790 | 0.0023 | 0.0638 | -0.0850 | -0.0028 | -0.1189 | -0.0082 | -0.1293 | -0.0246 | -0.2737 | -0.1731 | 0.1743 | -0.0317 | 0.0958 | 0.0057 | -0.0901 | 0.0289 | -0.1136 | 0.0070 | 0.0305 | -0.2025 | 0.1558 | 0.0616 | -0.0225 | -0.2382 | -0.1141 | 0.0409 | 0.1050 | -0.0732 | -0.0078 | -0.1077 | -0.0093 | 0.0237 | 0.0457 | -0.0291 | 0.0369 | -0.0570 | 0.0040 | 0.0184 | -0.0168 | 0.0032 | 0.0023 | 0.0031 | 0.0310 | 0.0231 | -0.0118 | -0.0250 | 0.0017 | -0.0187 | 0.0187 | 0.0180 | -0.0005 | -0.0289 | 0.0000 | -0.0317 | -0.0220 | 0.0054 | -0.0221 | -0.0022 | -0.0297 | -0.0109 | -0.0088 | -0.0019 | 0.0046 | -0.0035 | -0.0023 | -0.0049 |
| 2162e1 | 2162e1 | Eosinophils | H. sapiens | 1 | #66A61E | 2162e1 | -0.0902 | 0.0266 | -0.0902 | 0.0266 | 0.2179 | 0.0541 | 0.0340 | 0.0503 | -0.0498 | 0.1085 | 0.0453 | -0.0050 | 0.0075 | 0.0117 | -0.0703 | -0.0093 | 0.1304 | -0.1878 | -0.0109 | -0.0344 | 0.0013 | -0.0969 | 0.0372 | 0.2427 | 0.0898 | -0.0693 | 0.0503 | 0.0817 | -0.1761 | -0.1610 | 0.0323 | -0.0015 | 0.0644 | -0.2905 | 0.0196 | 0.0366 | 0.1387 | -0.1789 | 0.2115 | -0.1629 | -0.1101 | 0.0474 | 0.0380 | 0.1629 | 0.0475 | 0.1164 | 0.0525 | -0.1475 | 0.1551 | 0.0558 | -0.0703 | 0.3086 | 0.1802 | 0.0551 | -0.1999 | 0.1022 | 0.1019 | 0.1407 | 0.0681 | -0.0622 | -0.0654 | -0.0528 | 0.0378 | 0.1928 | 0.0591 | -0.1239 | -0.0702 | 0.1455 | -0.0933 | 0.1072 | -0.0031 | 0.0307 | -0.0310 | 0.0081 | 0.0021 | 0.0486 | 0.0319 | -0.1050 | -0.0259 | 0.0458 | -0.0568 | -0.0102 | -0.0720 | -0.0100 | -0.0356 | 0.0236 | -0.0240 | 0.0392 | 0.0501 | 0.0093 | 0.0010 | 0.0757 | 0.0375 | -0.0419 | -0.0065 | 0.0180 | 0.0169 | -0.0070 | 0.0064 | 0.0013 |
| 2162bp1 | 2162bp1 | Biopsy | H. sapiens | 1 | #E7298A | 2162bp1 | 0.1352 | 0.0833 | 0.1352 | 0.0833 | 0.0123 | -0.0267 | -0.0437 | -0.0334 | 0.0387 | 0.0873 | 0.0722 | -0.4254 | -0.2411 | -0.0319 | -0.1498 | 0.0891 | 0.1209 | -0.1957 | -0.4305 | -0.1985 | -0.0859 | 0.0611 | 0.0925 | -0.1240 | -0.0918 | -0.0941 | 0.0935 | -0.2184 | -0.2483 | 0.0367 | -0.1419 | -0.1781 | 0.0458 | 0.1023 | 0.0155 | -0.2716 | 0.0222 | 0.0238 | -0.0445 | -0.0637 | 0.1128 | -0.0185 | -0.0448 | -0.0682 | 0.0016 | 0.0152 | 0.0047 | 0.1400 | -0.0077 | -0.0483 | -0.0130 | 0.0896 | -0.0169 | 0.0732 | -0.0140 | -0.0464 | -0.0445 | -0.0472 | -0.0404 | -0.0304 | -0.0027 | 0.0464 | -0.0283 | 0.0090 | 0.0363 | -0.0142 | 0.0283 | 0.0127 | 0.0144 | 0.0411 | -0.0058 | -0.0227 | 0.0593 | 0.0099 | 0.0079 | -0.0360 | -0.0106 | 0.0087 | -0.0003 | -0.0073 | 0.0152 | -0.0181 | -0.0171 | 0.0264 | 0.0021 | -0.0112 | -0.0080 | 0.0205 | 0.0014 | 0.0174 | -0.0119 | 0.0059 | 0.0053 | 0.0089 | -0.0102 | 0.0021 | 0.0002 | 0.0046 | -0.0006 | -0.0033 |
| macrofagos | Macrofagos | Macrophages | H. sapiens | 1 | #E6AB02 | Macrofagos | 0.0274 | -0.1938 | 0.0274 | -0.1938 | -0.0536 | 0.1677 | -0.0672 | -0.0705 | 0.0548 | 0.0554 | 0.0555 | 0.0590 | 0.0301 | 0.0448 | -0.0239 | -0.2661 | -0.2134 | 0.0089 | -0.0727 | 0.0298 | -0.0924 | -0.0663 | -0.0338 | 0.0185 | 0.0043 | -0.0750 | 0.0114 | 0.0126 | 0.0422 | 0.0657 | 0.0181 | -0.0161 | 0.0189 | -0.0117 | -0.0043 | 0.0032 | 0.0987 | -0.1409 | -0.0641 | 0.0429 | 0.0503 | 0.0325 | -0.1196 | 0.0866 | -0.0197 | 0.0291 | -0.0494 | 0.1260 | 0.0907 | -0.1276 | -0.0145 | -0.0295 | 0.0284 | 0.0200 | -0.0025 | 0.0495 | -0.0171 | 0.0575 | -0.0260 | -0.0569 | 0.1856 | 0.2008 | -0.1065 | -0.0765 | 0.2266 | 0.1307 | -0.0167 | 0.0924 | -0.0140 | 0.2414 | -0.2476 | -0.1413 | -0.1413 | 0.0380 | -0.0092 | 0.0747 | -0.0580 | -0.0143 | -0.1090 | -0.1470 | 0.0250 | -0.0327 | -0.0246 | -0.0049 | 0.0819 | 0.0105 | -0.1602 | 0.0205 | 0.0502 | -0.0401 | -0.3027 | -0.0890 | 0.2165 | 0.0892 | 0.0401 | -0.1358 | -0.0661 | -0.1316 | -0.0169 | 0.1368 |
| macrofagos+sbv | Macrofagos+SbV | Macrophages | H. sapiens | 1 | #E6AB02 | Mcrfgs+SbV | 0.0228 | -0.1888 | 0.0228 | -0.1888 | -0.0563 | 0.1925 | -0.0213 | -0.0821 | 0.0604 | 0.0791 | 0.0906 | -0.0124 | 0.1504 | 0.1752 | 0.1155 | 0.1094 | -0.0805 | -0.0224 | -0.0129 | -0.0476 | -0.0818 | 0.0729 | -0.0045 | 0.0066 | -0.0281 | -0.0295 | 0.0176 | 0.0444 | 0.0198 | -0.0130 | -0.0092 | 0.0338 | -0.0273 | 0.0246 | 0.0466 | 0.0059 | 0.0906 | -0.1086 | -0.0528 | 0.0478 | 0.0922 | -0.0355 | -0.0708 | 0.1009 | 0.0653 | 0.0005 | -0.0180 | 0.0760 | 0.0658 | -0.1385 | 0.0488 | 0.0521 | -0.0165 | 0.0267 | 0.0142 | 0.0185 | 0.0204 | -0.0296 | -0.0036 | -0.0098 | -0.0263 | -0.0568 | -0.0015 | -0.0220 | -0.0529 | -0.0079 | 0.0033 | -0.0234 | -0.0015 | -0.0356 | 0.0741 | 0.0053 | 0.0201 | -0.0395 | -0.0116 | -0.0085 | -0.0390 | -0.0195 | -0.0296 | 0.1045 | -0.0662 | 0.0863 | 0.0314 | 0.0859 | -0.0739 | 0.0570 | 0.3197 | 0.0802 | -0.0153 | 0.0195 | -0.1656 | -0.0745 | 0.0200 | 0.0436 | -0.1227 | 0.2714 | 0.3228 | -0.1416 | -0.0494 | -0.5171 |
| macrofagos+10772 | Macrofagos+10772 | Macrophages | H. sapiens | 1 | #E6AB02 | Mcrf+10772 | 0.0263 | -0.1828 | 0.0263 | -0.1828 | -0.0713 | 0.1785 | -0.0299 | 0.0011 | -0.0201 | -0.0169 | -0.0189 | 0.0248 | -0.0719 | -0.0996 | -0.1212 | -0.2046 | -0.0545 | 0.0339 | -0.0099 | 0.0572 | 0.0294 | -0.0470 | -0.0118 | 0.0116 | 0.0094 | 0.0057 | 0.0049 | 0.0384 | -0.0378 | 0.0562 | 0.0479 | 0.0100 | 0.0418 | 0.0037 | -0.0199 | -0.0278 | 0.0712 | -0.0982 | -0.0493 | 0.0886 | 0.0947 | -0.0030 | -0.0741 | 0.0774 | 0.0170 | 0.0204 | -0.0500 | 0.0871 | 0.0462 | -0.1114 | 0.0427 | 0.0294 | 0.0245 | 0.0143 | 0.0055 | 0.0386 | 0.0258 | -0.0057 | -0.0336 | 0.0035 | 0.0403 | 0.0608 | 0.0573 | -0.0142 | 0.0879 | -0.0005 | 0.0298 | 0.0006 | -0.0178 | 0.0538 | -0.0923 | -0.0280 | -0.0165 | 0.0091 | 0.0184 | 0.0261 | -0.0290 | 0.0474 | 0.0100 | -0.0386 | 0.0782 | -0.0603 | 0.0077 | -0.1422 | -0.0093 | -0.0420 | -0.1338 | -0.0641 | -0.0628 | -0.0189 | 0.4305 | 0.1155 | -0.3754 | -0.1903 | -0.1883 | 0.3832 | -0.1121 | 0.2603 | -0.0607 | -0.0908 |
| macrofagos+10772+sbv | Macrofagos+10772+SbV | Macrophages | H. sapiens | 1 | #E6AB02 | M+10772+SV | 0.0205 | -0.1862 | 0.0205 | -0.1862 | -0.0624 | 0.1964 | -0.0429 | -0.0700 | 0.0450 | 0.0223 | 0.0455 | -0.0210 | 0.1084 | 0.1253 | 0.1071 | 0.1835 | 0.0049 | 0.0002 | 0.0106 | -0.0590 | -0.0486 | 0.0468 | 0.0113 | 0.0000 | -0.0245 | -0.0101 | 0.0167 | 0.0254 | 0.0233 | -0.0122 | -0.0528 | -0.0054 | -0.0029 | 0.0260 | 0.0175 | 0.0193 | 0.0341 | -0.0635 | -0.0320 | 0.0229 | 0.0083 | 0.0001 | -0.0281 | 0.0314 | 0.0151 | 0.0092 | -0.0023 | 0.0571 | 0.0278 | -0.0708 | 0.0116 | 0.0286 | 0.0004 | 0.0038 | 0.0074 | 0.0142 | 0.0291 | 0.0055 | -0.0208 | 0.0035 | 0.0016 | 0.0077 | 0.0306 | -0.0109 | 0.0434 | 0.0215 | 0.0006 | 0.0045 | -0.0122 | 0.0048 | -0.0170 | 0.0197 | 0.0089 | -0.0226 | -0.0050 | 0.0009 | -0.0432 | 0.0313 | -0.0034 | 0.1024 | 0.0174 | 0.0124 | 0.0021 | -0.0200 | -0.1097 | 0.0111 | 0.1435 | 0.0142 | -0.0581 | 0.0093 | 0.2570 | 0.0587 | -0.0730 | -0.0709 | 0.1943 | -0.2029 | 0.4104 | 0.1549 | 0.3864 | 0.4864 |
| macrofagos+2169 | Macrofagos+2169 | Macrophages | H. sapiens | 1 | #E6AB02 | Mcrfg+2169 | 0.0229 | -0.1720 | 0.0229 | -0.1720 | -0.0837 | 0.1714 | -0.0836 | 0.0242 | -0.0721 | -0.0811 | -0.1143 | 0.0286 | -0.2320 | -0.1554 | -0.1742 | -0.0910 | 0.1444 | 0.0684 | 0.0723 | 0.0567 | 0.1567 | -0.0646 | 0.0198 | -0.0152 | -0.0188 | 0.0859 | 0.0036 | 0.0838 | -0.0844 | 0.1020 | 0.0821 | 0.0061 | 0.0534 | 0.0259 | -0.0133 | -0.0277 | 0.0832 | -0.0751 | -0.0317 | 0.0657 | 0.1050 | 0.0107 | -0.0587 | 0.0383 | 0.0365 | 0.0273 | -0.0197 | 0.0487 | 0.0270 | -0.0369 | 0.0297 | 0.0500 | -0.0312 | 0.0006 | 0.0047 | -0.0108 | 0.0278 | 0.0142 | -0.0080 | 0.0090 | -0.0468 | -0.0650 | 0.0233 | 0.0208 | -0.0527 | -0.0239 | 0.0028 | -0.0113 | 0.0471 | -0.0624 | 0.0672 | 0.0425 | 0.0580 | -0.0321 | 0.0135 | -0.0132 | -0.0098 | -0.0148 | 0.0130 | 0.1104 | -0.0180 | 0.0486 | -0.0121 | 0.0208 | -0.0641 | -0.0148 | 0.1058 | -0.0279 | -0.0269 | 0.0081 | 0.1745 | 0.0635 | -0.0629 | -0.0427 | 0.1511 | -0.4658 | -0.0068 | -0.4677 | -0.2261 | -0.0960 |
| macrofagos+2169+sbv | Macrofagos+2169+SbV | Macrophages | H. sapiens | 1 | #E6AB02 | Mc+2169+SV | 0.0199 | -0.1679 | 0.0199 | -0.1679 | -0.0763 | 0.2015 | -0.0033 | 0.0205 | -0.0248 | -0.0453 | -0.0379 | -0.0078 | -0.0255 | 0.0442 | 0.0847 | 0.3010 | 0.2085 | 0.0121 | 0.0623 | -0.0657 | 0.0809 | 0.0364 | 0.0191 | -0.0330 | -0.0112 | 0.0337 | 0.0127 | -0.0062 | 0.0294 | 0.0109 | -0.0217 | -0.0083 | -0.0038 | -0.0282 | -0.0357 | 0.0037 | -0.0806 | 0.0869 | 0.0576 | -0.0614 | -0.1140 | 0.0182 | 0.0323 | -0.1039 | -0.0788 | 0.0313 | 0.0112 | -0.0318 | -0.0542 | 0.1408 | -0.0630 | -0.0727 | 0.0033 | -0.0512 | -0.0515 | -0.0064 | -0.0210 | 0.0881 | 0.0076 | -0.0421 | 0.1110 | 0.1450 | -0.1052 | -0.0002 | 0.1532 | 0.0970 | -0.0237 | 0.0684 | 0.0056 | 0.1345 | -0.1497 | -0.0611 | -0.0345 | 0.0093 | -0.0060 | 0.0643 | -0.0047 | 0.0104 | -0.0087 | 0.0086 | -0.0093 | 0.0582 | -0.0209 | 0.0014 | -0.0235 | -0.0276 | 0.0029 | -0.0123 | 0.0135 | 0.0154 | 0.0200 | 0.0637 | 0.0099 | -0.0136 | 0.2512 | -0.2109 | -0.2158 | 0.3475 | 0.0798 | -0.4662 |
| macrofagos+12309 | Macrofagos+12309 | Macrophages | H. sapiens | 1 | #E6AB02 | Mcrf+12309 | 0.0263 | -0.1805 | 0.0263 | -0.1805 | -0.0611 | 0.1837 | 0.0038 | -0.0197 | -0.0217 | 0.0602 | 0.0259 | -0.0089 | 0.0323 | -0.0975 | -0.0987 | -0.2823 | -0.1908 | -0.0515 | -0.1201 | 0.0921 | -0.1440 | -0.0995 | -0.0252 | 0.0158 | 0.0168 | -0.0540 | -0.0459 | -0.1193 | 0.0291 | -0.0889 | -0.0496 | -0.0528 | 0.0021 | -0.0182 | 0.0114 | 0.0158 | -0.1494 | 0.1797 | 0.0689 | -0.0844 | -0.1529 | 0.0020 | 0.0884 | -0.1433 | -0.0335 | -0.0246 | 0.0611 | -0.1087 | -0.0923 | 0.1469 | -0.0625 | -0.0224 | -0.0070 | -0.0214 | -0.0128 | -0.0238 | -0.0468 | 0.0080 | -0.0105 | -0.0007 | -0.0316 | -0.0190 | -0.0248 | 0.0568 | -0.0378 | 0.0012 | 0.0005 | -0.0152 | 0.0210 | -0.0530 | 0.0650 | 0.0214 | 0.0432 | -0.0065 | 0.0015 | 0.0291 | -0.0181 | -0.0028 | 0.0161 | 0.1017 | -0.0507 | 0.0980 | -0.0052 | 0.0376 | -0.0561 | 0.0301 | 0.1620 | 0.0281 | -0.0013 | -0.0003 | 0.0542 | 0.0075 | -0.0305 | -0.0166 | -0.0652 | 0.0809 | -0.2765 | -0.2809 | 0.5156 | -0.0562 |
| macrofagos+12309+sbv | Macrofagos+12309+SbV | Macrophages | H. sapiens | 1 | #E6AB02 | M+12309+SV | 0.0250 | -0.1800 | 0.0250 | -0.1800 | -0.0597 | 0.2019 | 0.0318 | -0.0300 | 0.0374 | 0.0644 | 0.0858 | -0.0098 | 0.1539 | 0.1574 | 0.1006 | 0.1502 | -0.0435 | -0.0260 | -0.0248 | -0.0525 | -0.0788 | 0.0352 | 0.0169 | 0.0059 | -0.0005 | 0.0089 | -0.0068 | 0.0146 | 0.0046 | -0.0447 | -0.0040 | -0.0017 | -0.0231 | -0.0015 | 0.0186 | -0.0215 | 0.0204 | -0.0258 | -0.0196 | 0.0398 | 0.0737 | -0.0432 | -0.0494 | 0.0452 | 0.0528 | 0.0201 | -0.0147 | 0.0227 | 0.0278 | -0.0551 | 0.0152 | 0.0459 | -0.0317 | 0.0163 | -0.0008 | 0.0064 | 0.0001 | -0.0373 | 0.0035 | 0.0112 | -0.0618 | -0.1123 | 0.0351 | 0.0194 | -0.1339 | -0.0775 | 0.0041 | -0.0375 | 0.0182 | -0.0993 | 0.1229 | 0.0547 | 0.0431 | -0.0212 | 0.0040 | -0.0365 | 0.0092 | -0.0237 | 0.0236 | 0.0688 | -0.0539 | 0.0909 | -0.0256 | 0.0512 | -0.0509 | 0.0105 | 0.1826 | -0.0327 | 0.0073 | 0.0261 | -0.1407 | 0.0645 | -0.0063 | 0.0026 | -0.0098 | -0.0130 | -0.6115 | 0.1635 | -0.3243 | 0.3281 |
| macrofagos+12367+sbv | Macrofagos+12367+SbV | Macrophages | H. sapiens | 1 | #E6AB02 | M+12367+SV | 0.0256 | -0.1693 | 0.0256 | -0.1693 | -0.0668 | 0.2112 | 0.0976 | 0.0217 | 0.0074 | 0.0368 | 0.0735 | -0.0347 | 0.1405 | 0.1143 | 0.1082 | 0.1784 | -0.0114 | -0.0470 | -0.0212 | -0.0630 | -0.0459 | 0.0732 | 0.0148 | 0.0149 | 0.0028 | -0.0187 | 0.0045 | -0.0307 | 0.0322 | -0.0649 | -0.0412 | 0.0193 | -0.0385 | 0.0000 | 0.0020 | 0.0034 | -0.0133 | 0.0111 | 0.0100 | -0.0111 | 0.0189 | -0.0218 | 0.0477 | 0.0367 | 0.0225 | -0.0268 | 0.0095 | -0.0398 | 0.0042 | -0.0460 | 0.0375 | 0.0182 | 0.0154 | 0.0341 | 0.0334 | -0.0078 | 0.0182 | -0.0836 | 0.0284 | 0.0419 | -0.0866 | -0.1095 | 0.1016 | -0.0139 | -0.1528 | -0.1133 | 0.0202 | -0.0410 | -0.0426 | -0.0847 | 0.1277 | 0.0878 | 0.0178 | 0.0501 | -0.0057 | -0.1157 | 0.1162 | 0.0221 | 0.0899 | -0.2345 | 0.1174 | -0.2299 | 0.0273 | -0.1373 | 0.1982 | -0.0599 | -0.5782 | -0.0512 | 0.0468 | -0.0328 | 0.0975 | -0.0282 | 0.0912 | 0.0143 | -0.0179 | -0.1027 | -0.0131 | -0.2108 | 0.1071 | -0.1362 |
| macrofagos+11126 | Macrofagos+11126 | Macrophages | H. sapiens | 1 | #E6AB02 | Mcrf+11126 | 0.0268 | -0.1750 | 0.0268 | -0.1750 | -0.0626 | 0.1890 | 0.0538 | 0.0075 | -0.0244 | 0.0554 | 0.0386 | -0.0179 | 0.0430 | -0.1023 | -0.0724 | -0.2508 | -0.1709 | -0.0667 | -0.1206 | 0.0789 | -0.1199 | -0.0715 | -0.0311 | 0.0233 | 0.0309 | -0.0631 | -0.0354 | -0.1270 | 0.0355 | -0.0941 | -0.0702 | -0.0313 | -0.0076 | -0.0154 | -0.0043 | 0.0142 | -0.1407 | 0.1683 | 0.0735 | -0.1106 | -0.1527 | 0.0090 | 0.1282 | -0.1253 | -0.0225 | -0.0457 | 0.0628 | -0.1428 | -0.0806 | 0.1314 | -0.0332 | -0.0513 | -0.0071 | -0.0093 | 0.0137 | -0.0368 | -0.0232 | -0.0206 | 0.0290 | 0.0059 | -0.0470 | -0.0178 | -0.0063 | 0.0405 | -0.0404 | -0.0035 | -0.0166 | -0.0069 | 0.0043 | -0.0516 | 0.0342 | 0.0264 | 0.0063 | -0.0151 | 0.0116 | -0.0233 | 0.0378 | 0.0054 | 0.0093 | 0.0062 | -0.0002 | -0.0233 | -0.0150 | 0.0104 | 0.0086 | -0.0124 | -0.0250 | -0.0093 | 0.0086 | 0.0267 | -0.0019 | 0.0051 | 0.0115 | 0.0431 | 0.0631 | -0.1156 | 0.3947 | 0.2668 | -0.5232 | 0.0228 |
| macrofagos+12251 | Macrofagos+12251 | Macrophages | H. sapiens | 1 | #E6AB02 | Mcrf+12251 | 0.0261 | -0.1634 | 0.0261 | -0.1634 | -0.0899 | 0.1789 | -0.0281 | 0.0707 | -0.1118 | -0.0777 | -0.1197 | 0.0136 | -0.2705 | -0.1747 | -0.1863 | -0.1097 | 0.1466 | 0.0568 | 0.0586 | 0.0675 | 0.2072 | -0.0439 | 0.0283 | -0.0158 | -0.0174 | 0.0809 | 0.0104 | 0.0710 | -0.0606 | 0.1026 | 0.1105 | 0.0374 | 0.0231 | -0.0004 | -0.0078 | -0.0437 | 0.0432 | -0.0195 | -0.0099 | 0.0425 | 0.0855 | 0.0127 | 0.0004 | 0.0553 | 0.0430 | -0.0039 | -0.0084 | -0.0038 | -0.0195 | -0.0081 | 0.0367 | 0.0530 | -0.0257 | -0.0009 | 0.0055 | -0.0339 | 0.0384 | -0.0378 | -0.0047 | 0.0288 | -0.0786 | -0.1399 | 0.0682 | 0.0167 | -0.1512 | -0.0449 | -0.0107 | -0.0529 | -0.0020 | -0.1030 | 0.1280 | 0.0515 | 0.0195 | -0.0004 | -0.0234 | -0.0619 | 0.0363 | -0.0212 | 0.0236 | -0.0817 | -0.0341 | -0.0438 | 0.0211 | 0.0620 | 0.0610 | 0.0152 | -0.0219 | 0.0574 | 0.0529 | 0.0146 | -0.3538 | -0.1014 | 0.2660 | 0.1086 | 0.0474 | 0.1762 | 0.0727 | 0.3656 | 0.2651 | 0.0695 |
| macrofagos+12251+sbv | Macrofagos+12251+SbV | Macrophages | H. sapiens | 1 | #E6AB02 | M+12251+SV | 0.0209 | -0.1597 | 0.0209 | -0.1597 | -0.0856 | 0.2045 | 0.0180 | 0.0598 | -0.0699 | -0.0775 | -0.0783 | -0.0384 | -0.0974 | -0.0250 | 0.0374 | 0.2959 | 0.2732 | 0.0100 | 0.0943 | -0.0505 | 0.1536 | 0.0606 | 0.0243 | -0.0230 | -0.0234 | 0.0477 | 0.0124 | 0.0040 | -0.0058 | -0.0022 | -0.0028 | 0.0161 | -0.0197 | 0.0008 | -0.0312 | 0.0278 | -0.0783 | 0.1001 | 0.0761 | -0.0742 | -0.1029 | 0.0293 | 0.0865 | -0.1208 | -0.0819 | -0.0225 | 0.0429 | -0.0641 | -0.0599 | 0.1432 | -0.0312 | -0.0705 | 0.0170 | -0.0568 | 0.0032 | -0.0316 | -0.0210 | 0.0715 | 0.0197 | -0.0242 | 0.0826 | 0.0758 | -0.0769 | -0.0114 | 0.1116 | 0.0295 | 0.0149 | 0.0401 | -0.0117 | 0.0634 | -0.1112 | -0.0765 | -0.0347 | 0.0298 | 0.0138 | 0.0738 | -0.0108 | -0.0217 | -0.0513 | -0.0099 | -0.0168 | 0.0075 | 0.0010 | 0.0264 | 0.0564 | 0.0188 | -0.0087 | 0.0015 | -0.0079 | -0.0260 | -0.0720 | -0.0797 | -0.0508 | 0.0266 | -0.3377 | 0.3310 | 0.1046 | -0.3335 | -0.1632 | 0.3135 |
| 2168e1 | 2168e1 | Eosinophils | H. sapiens | 1 | #66A61E | 2168e1 | -0.0921 | 0.0247 | -0.0921 | 0.0247 | 0.2214 | 0.0628 | 0.0016 | 0.0262 | -0.0179 | -0.0832 | -0.0979 | -0.0664 | 0.0133 | -0.0560 | 0.0131 | 0.0121 | -0.0288 | -0.0615 | -0.0111 | 0.0306 | -0.0761 | -0.0168 | -0.0038 | 0.0478 | -0.0673 | 0.1568 | 0.1174 | -0.0786 | 0.0472 | 0.0534 | -0.1366 | 0.0040 | -0.0191 | -0.0486 | -0.0503 | 0.0156 | -0.0720 | 0.0776 | 0.0166 | 0.2171 | 0.0796 | -0.0218 | 0.1828 | 0.0737 | -0.0373 | 0.0029 | -0.0951 | -0.0231 | 0.0285 | -0.0077 | 0.0012 | 0.0813 | -0.0453 | -0.0844 | -0.0702 | 0.1327 | 0.0982 | -0.0189 | -0.0342 | 0.0206 | 0.0010 | 0.0814 | 0.0309 | -0.0070 | -0.0530 | 0.0782 | 0.0098 | 0.0520 | -0.0682 | 0.0693 | -0.0023 | 0.0363 | -0.0509 | 0.0908 | -0.1285 | -0.0216 | 0.0720 | 0.1591 | -0.1519 | -0.0401 | -0.0376 | -0.1771 | 0.2499 | -0.2518 | 0.1809 | 0.0195 | 0.2384 | -0.1448 | -0.0326 | 0.3382 | 0.0838 | -0.0394 | 0.0065 | 0.3061 | 0.1681 | 0.0882 | -0.0444 | -0.0668 | -0.0283 | 0.0145 |
| 2168m2 | 2168m2 | Monocytes | H. sapiens | 1 | #7570B3 | 2168m2 | -0.0405 | -0.1172 | -0.0405 | -0.1172 | -0.0096 | -0.1532 | -0.0183 | -0.0502 | 0.0186 | -0.1287 | -0.1268 | -0.0855 | 0.0204 | 0.0478 | -0.0386 | -0.0038 | -0.0014 | 0.0766 | -0.0777 | 0.0562 | -0.0762 | 0.0481 | -0.0065 | 0.0372 | -0.0608 | 0.1395 | 0.1313 | -0.0007 | 0.0330 | -0.0202 | -0.0908 | -0.1449 | -0.0501 | -0.0302 | 0.1251 | 0.1738 | 0.0542 | -0.0139 | -0.0013 | -0.0323 | -0.0352 | -0.0543 | -0.0909 | -0.0099 | 0.0287 | 0.0562 | -0.0579 | -0.0639 | -0.0519 | 0.0721 | 0.0614 | -0.0176 | 0.0343 | 0.0568 | -0.0146 | -0.0010 | 0.0316 | 0.0256 | 0.0877 | 0.1068 | -0.0737 | 0.0314 | -0.1469 | -0.0428 | 0.1470 | -0.1094 | -0.0781 | -0.0859 | 0.1407 | -0.0903 | -0.0223 | -0.0194 | 0.0052 | -0.0681 | 0.1267 | -0.0531 | -0.0731 | 0.0664 | 0.0436 | -0.0311 | -0.1874 | -0.1489 | 0.1029 | -0.0007 | -0.0172 | -0.0414 | -0.0109 | -0.0441 | -0.0320 | -0.1070 | 0.0358 | 0.0702 | 0.2806 | -0.3692 | 0.3795 | 0.2869 | -0.0171 | -0.1078 | -0.0824 | 0.0244 |
| 2168n2 | 2168n2 | Neutrophils | H. sapiens | 1 | #D95F02 | 2168n2 | -0.1272 | 0.1169 | -0.1272 | 0.1169 | -0.1256 | 0.0309 | -0.0353 | -0.0217 | 0.0171 | -0.1066 | -0.1346 | -0.0272 | -0.0790 | 0.0379 | 0.0791 | 0.0650 | -0.1040 | -0.0046 | -0.0980 | 0.1408 | -0.1361 | -0.0170 | 0.0781 | 0.0229 | 0.0566 | 0.1547 | 0.1065 | -0.1541 | -0.0635 | -0.0851 | 0.0783 | 0.1668 | -0.0121 | -0.0387 | -0.1490 | 0.0717 | 0.2148 | 0.0301 | 0.0829 | -0.0268 | 0.0045 | 0.0350 | -0.1026 | 0.0399 | 0.0552 | 0.0119 | -0.0480 | -0.0461 | -0.0161 | 0.2067 | 0.1254 | 0.0554 | 0.0898 | 0.0250 | 0.0079 | -0.2794 | -0.1568 | -0.0213 | -0.0756 | 0.0729 | 0.2194 | 0.1296 | 0.3370 | -0.3001 | 0.0694 | -0.0288 | -0.1503 | -0.0278 | -0.1588 | 0.0928 | 0.1007 | 0.1842 | -0.0461 | -0.0716 | 0.0372 | -0.0556 | -0.0774 | 0.0171 | 0.1108 | 0.0542 | 0.0086 | 0.0368 | -0.0945 | 0.0046 | 0.0182 | 0.0016 | 0.0176 | 0.0576 | 0.0211 | 0.0312 | -0.0011 | -0.0076 | -0.0151 | 0.0705 | -0.0222 | -0.0116 | -0.0057 | -0.0051 | -0.0066 | -0.0044 |
| 2168e2 | 2168e2 | Eosinophils | H. sapiens | 1 | #66A61E | 2168e2 | -0.0981 | 0.0237 | -0.0981 | 0.0237 | 0.2236 | 0.0686 | -0.0271 | -0.0059 | 0.0185 | -0.1282 | -0.1141 | -0.0623 | 0.0000 | 0.0437 | 0.0320 | -0.0494 | 0.0502 | -0.1188 | 0.0045 | 0.0829 | -0.1487 | 0.0334 | -0.0449 | -0.0333 | -0.0018 | 0.1515 | 0.0789 | -0.0676 | 0.0880 | 0.0906 | -0.1176 | 0.0066 | -0.0753 | -0.0444 | -0.0542 | -0.0204 | -0.0307 | 0.0538 | 0.0929 | 0.2053 | 0.0946 | -0.0025 | 0.0768 | 0.0307 | -0.0628 | -0.0048 | -0.0596 | -0.0179 | -0.0433 | 0.0185 | 0.0190 | 0.0502 | -0.0228 | -0.0690 | -0.0234 | 0.1389 | 0.0333 | -0.0128 | -0.0106 | -0.0123 | 0.0136 | 0.0039 | 0.0489 | 0.0461 | 0.0067 | -0.0153 | 0.0358 | 0.0389 | 0.0254 | -0.0188 | -0.0033 | -0.0023 | 0.0128 | -0.0509 | 0.1021 | 0.0110 | -0.0711 | -0.0746 | 0.0773 | -0.0029 | 0.0557 | -0.0017 | 0.1620 | 0.0138 | -0.0198 | -0.1331 | 0.0437 | -0.1839 | -0.1351 | -0.2801 | -0.2142 | -0.0201 | 0.0094 | -0.3534 | -0.4076 | -0.2767 | 0.0467 | 0.1036 | 0.0603 | -0.0371 |
| 2168m3 | 2168m3 | Monocytes | H. sapiens | 1 | #7570B3 | 2168m3 | -0.0380 | -0.1127 | -0.0380 | -0.1127 | -0.0204 | -0.1522 | -0.0420 | -0.0233 | -0.0129 | -0.1307 | -0.1734 | -0.0625 | -0.0265 | 0.0388 | -0.0543 | 0.0141 | -0.0203 | 0.0608 | -0.0774 | 0.0333 | -0.0208 | 0.0284 | 0.0236 | 0.1003 | -0.0870 | 0.1207 | 0.1519 | 0.0452 | 0.0913 | -0.0742 | -0.1024 | -0.1676 | -0.0691 | -0.0591 | 0.1531 | 0.1669 | -0.0135 | -0.0431 | -0.1497 | -0.0550 | -0.0589 | -0.0984 | -0.0522 | 0.0367 | 0.0202 | 0.0476 | -0.0427 | -0.1009 | 0.0627 | -0.0699 | 0.0455 | -0.0501 | 0.0475 | 0.1280 | -0.0177 | -0.0459 | 0.0171 | 0.0035 | 0.1136 | 0.1018 | -0.0875 | -0.1053 | -0.2307 | -0.0529 | 0.1117 | -0.1322 | -0.0912 | -0.0546 | 0.1553 | -0.0387 | 0.0082 | -0.0713 | -0.0441 | -0.0417 | 0.0470 | -0.0326 | -0.0204 | 0.0216 | -0.0273 | -0.0260 | -0.0751 | 0.0305 | -0.2004 | -0.0025 | 0.0443 | 0.0559 | -0.0695 | 0.0410 | -0.0254 | 0.2161 | -0.0565 | 0.0454 | -0.2484 | 0.3046 | -0.3284 | -0.2147 | 0.0067 | 0.1035 | 0.0829 | -0.0263 |
| 2168n3 | 2168n3 | Neutrophils | H. sapiens | 1 | #D95F02 | 2168n3 | -0.1131 | 0.1104 | -0.1131 | 0.1104 | -0.1234 | 0.0100 | -0.0680 | -0.0098 | -0.0114 | -0.1227 | -0.2112 | 0.0083 | -0.0753 | 0.0103 | 0.0560 | 0.1387 | -0.1578 | -0.0231 | -0.1198 | 0.1048 | -0.1155 | -0.0459 | 0.0010 | 0.1040 | -0.0019 | 0.0649 | 0.1628 | -0.0923 | 0.0269 | -0.1791 | 0.1627 | 0.2111 | 0.0842 | 0.0030 | -0.1175 | -0.0582 | 0.1075 | -0.0956 | 0.0673 | -0.0438 | -0.0916 | 0.0468 | -0.1724 | -0.0423 | 0.0492 | -0.0234 | 0.1693 | 0.0454 | 0.0359 | -0.0830 | 0.0044 | -0.1205 | -0.0155 | 0.0363 | 0.0570 | -0.2344 | 0.0505 | -0.0572 | 0.0304 | -0.0759 | -0.0922 | -0.0417 | -0.1915 | 0.2844 | -0.1302 | 0.0881 | 0.1517 | 0.0565 | 0.1034 | -0.0674 | -0.0551 | -0.1785 | 0.0924 | 0.1394 | -0.2055 | 0.0703 | 0.1843 | -0.0319 | -0.1880 | -0.0363 | 0.0739 | 0.0045 | 0.1344 | -0.0342 | -0.0133 | -0.0531 | 0.0203 | -0.0486 | 0.0038 | -0.0629 | 0.0056 | 0.0112 | -0.0014 | -0.0630 | 0.0013 | -0.0024 | 0.0014 | 0.0161 | 0.0088 | 0.0041 |
| 2168e3 | 2168e3 | Eosinophils | H. sapiens | 1 | #66A61E | 2168e3 | -0.0958 | 0.0205 | -0.0958 | 0.0205 | 0.2182 | 0.0568 | -0.0840 | -0.0243 | 0.0243 | -0.1320 | -0.1292 | -0.0183 | -0.0275 | 0.0424 | 0.0750 | -0.0118 | 0.0008 | -0.0581 | -0.0007 | 0.0356 | -0.0999 | -0.0117 | -0.0337 | 0.0295 | -0.0197 | 0.1415 | 0.0971 | -0.1200 | 0.1072 | 0.1158 | -0.1192 | 0.0245 | -0.0343 | -0.0030 | -0.0676 | -0.0059 | -0.0112 | 0.0523 | 0.0313 | 0.2422 | 0.0644 | -0.0046 | 0.0635 | 0.0224 | -0.0926 | 0.0071 | 0.0001 | 0.0057 | -0.0681 | -0.0868 | -0.0509 | -0.0191 | -0.0349 | -0.0528 | -0.0035 | 0.1331 | 0.0202 | -0.0423 | -0.0205 | -0.1070 | -0.0237 | -0.0454 | -0.0135 | 0.1342 | -0.0766 | 0.0609 | 0.0402 | 0.0055 | -0.0358 | -0.0378 | -0.0279 | -0.0497 | 0.0213 | -0.0244 | 0.0385 | 0.0477 | -0.0160 | -0.1130 | 0.0937 | 0.0271 | 0.0813 | 0.2113 | -0.3614 | 0.2678 | -0.1356 | 0.1133 | -0.2499 | 0.3141 | 0.1467 | -0.0405 | 0.1220 | -0.0670 | -0.0274 | 0.1085 | 0.2101 | 0.1606 | -0.0030 | -0.0432 | -0.0507 | 0.0209 |
| 2008-1 | 2008-1 | Biopsy | H. sapiens | 1 | #E7298A | 2008-1 | 0.1120 | 0.0218 | 0.1120 | 0.0218 | -0.0110 | -0.0242 | -0.1623 | 0.1705 | 0.0576 | 0.0562 | -0.0686 | -0.1607 | 0.0700 | -0.0734 | 0.0760 | -0.0572 | -0.0558 | 0.0742 | 0.2071 | -0.0009 | -0.0004 | 0.0785 | -0.0072 | 0.0269 | -0.0446 | 0.0158 | -0.0147 | -0.0513 | -0.1466 | -0.0021 | 0.0008 | 0.0498 | -0.1418 | -0.1209 | 0.1123 | -0.0886 | -0.0636 | 0.1653 | 0.0371 | -0.1400 | 0.1410 | 0.1620 | -0.1420 | 0.2887 | -0.0750 | -0.0847 | 0.1804 | -0.1216 | 0.0324 | -0.0091 | 0.0004 | -0.0704 | -0.0942 | 0.0163 | 0.0160 | 0.0513 | 0.0170 | -0.1153 | 0.1461 | 0.0926 | 0.1028 | 0.0546 | -0.0778 | -0.0034 | -0.0387 | 0.1211 | -0.0970 | 0.0544 | 0.0673 | 0.1743 | 0.0564 | -0.0254 | -0.0131 | 0.1153 | 0.1225 | -0.1485 | 0.2795 | -0.0191 | 0.2151 | -0.2027 | 0.0748 | -0.0687 | -0.0362 | -0.0141 | -0.1426 | 0.1331 | 0.1519 | 0.0849 | -0.0992 | -0.0462 | 0.0326 | 0.0184 | -0.0076 | -0.0195 | -0.0046 | -0.0072 | -0.0139 | -0.0161 | -0.0003 | 0.0130 |
| 2008-2 | 2008-2 | Biopsy | H. sapiens | 1 | #E7298A | 2008-2 | 0.1388 | 0.0606 | 0.1388 | 0.0606 | 0.0160 | -0.0238 | -0.1304 | -0.1356 | 0.0216 | 0.0693 | 0.0136 | -0.3167 | 0.0720 | -0.0473 | 0.1078 | -0.0240 | -0.0712 | 0.0408 | 0.0213 | 0.0654 | 0.0816 | -0.0294 | 0.0495 | 0.0048 | -0.0501 | 0.0174 | -0.0459 | 0.2939 | -0.0144 | -0.0256 | -0.0808 | -0.0112 | 0.0850 | -0.0259 | -0.1961 | 0.0603 | 0.0126 | 0.0618 | -0.0103 | -0.0373 | 0.0397 | 0.1182 | -0.0682 | 0.0671 | -0.1694 | -0.1008 | 0.1487 | -0.0815 | -0.1245 | -0.0685 | 0.1128 | -0.0590 | 0.0991 | -0.2211 | -0.0679 | -0.0759 | 0.0338 | 0.0104 | -0.0545 | 0.0720 | -0.2179 | -0.1393 | 0.2375 | -0.0042 | 0.0067 | 0.0628 | -0.0855 | 0.0018 | 0.0618 | -0.0201 | -0.0990 | -0.1628 | -0.0834 | 0.2278 | 0.1588 | -0.0128 | -0.1826 | -0.0480 | -0.1126 | 0.1623 | -0.0816 | 0.1861 | 0.0472 | -0.0577 | 0.1276 | -0.0581 | -0.1055 | -0.0631 | 0.0540 | 0.0503 | -0.0186 | 0.0058 | 0.0101 | -0.0019 | 0.0224 | 0.0007 | -0.0081 | 0.0075 | -0.0047 | -0.0179 |
| 2008-3 | 2008-3 | Biopsy | H. sapiens | 1 | #E7298A | 2008-3 | 0.1519 | 0.0836 | 0.1519 | 0.0836 | 0.0277 | -0.0063 | 0.0001 | -0.3180 | 0.0207 | -0.0316 | 0.0114 | 0.0070 | -0.0169 | -0.0261 | -0.0393 | 0.0511 | -0.0017 | 0.0593 | 0.0642 | 0.0770 | -0.0166 | -0.1423 | 0.0193 | -0.0350 | -0.0518 | 0.0216 | -0.0279 | 0.1847 | -0.0419 | -0.1230 | -0.1188 | -0.0221 | 0.0471 | -0.1350 | -0.1460 | -0.0340 | -0.0377 | 0.1195 | -0.0582 | -0.0482 | 0.1140 | 0.0722 | -0.0824 | 0.1317 | -0.1117 | -0.0878 | 0.2532 | -0.1624 | -0.0655 | -0.0726 | 0.1306 | 0.0094 | -0.0641 | 0.0472 | -0.0287 | 0.0827 | -0.0660 | 0.0523 | -0.0555 | -0.1592 | 0.1513 | 0.0611 | -0.2365 | -0.0770 | 0.0886 | -0.1564 | 0.2625 | -0.0183 | -0.1687 | -0.1196 | 0.0807 | 0.1960 | 0.1013 | -0.2913 | -0.2013 | 0.0915 | -0.0706 | 0.0567 | -0.0329 | -0.0620 | 0.0245 | -0.0998 | -0.0222 | 0.0142 | -0.0326 | -0.0358 | -0.0117 | -0.0313 | 0.0282 | -0.0056 | -0.0005 | -0.0362 | 0.0107 | 0.0181 | 0.0017 | 0.0043 | -0.0089 | 0.0121 | -0.0070 | -0.0011 |
| 1029-1 | 1029-1 | Biopsy | H. sapiens | 1 | #E7298A | 1029-1 | 0.1231 | 0.0247 | 0.1231 | 0.0247 | 0.0058 | -0.0207 | -0.0942 | -0.0405 | 0.1782 | -0.0057 | -0.1123 | 0.1099 | 0.1450 | -0.1493 | -0.0268 | -0.0240 | -0.0289 | -0.0230 | 0.0676 | 0.0340 | 0.0591 | 0.1551 | 0.0130 | 0.0100 | -0.0866 | -0.0649 | 0.0825 | 0.0346 | -0.0746 | -0.0750 | -0.0903 | 0.0552 | -0.0365 | -0.0184 | -0.0168 | -0.0370 | 0.0025 | 0.0192 | -0.0203 | -0.0057 | -0.1358 | 0.0608 | -0.0635 | -0.0094 | -0.2341 | 0.1091 | -0.2131 | 0.2474 | -0.0604 | 0.0282 | -0.1024 | 0.1357 | 0.1004 | 0.0165 | 0.0883 | -0.0269 | 0.0106 | 0.0461 | 0.0606 | 0.0515 | -0.0814 | -0.0017 | 0.0182 | -0.0416 | 0.0416 | 0.0133 | 0.0747 | -0.0628 | 0.0327 | 0.0065 | -0.0861 | 0.0464 | 0.0615 | -0.0911 | -0.0199 | -0.0569 | 0.2594 | -0.0337 | 0.1500 | 0.1807 | 0.0497 | -0.0597 | -0.0797 | 0.0489 | -0.1271 | -0.2100 | 0.0088 | -0.3335 | 0.3821 | 0.0256 | -0.0175 | -0.0820 | 0.0230 | 0.0848 | -0.0285 | 0.0388 | 0.0150 | -0.0042 | 0.0097 | 0.0022 |
| 1029-2 | 1029-2 | Biopsy | H. sapiens | 1 | #E7298A | 1029-2 | 0.1329 | 0.0430 | 0.1329 | 0.0430 | 0.0255 | -0.0118 | -0.1123 | -0.2496 | 0.1383 | -0.0023 | -0.0633 | 0.0876 | 0.1422 | -0.1327 | -0.0290 | 0.0282 | 0.0007 | -0.0565 | 0.0969 | 0.1198 | 0.1018 | 0.0346 | 0.0563 | -0.0400 | -0.0791 | -0.1346 | 0.1205 | -0.0468 | -0.0279 | 0.0256 | -0.0055 | 0.0229 | 0.0228 | 0.0368 | -0.0049 | 0.0667 | 0.0183 | 0.0336 | 0.0795 | -0.0484 | -0.0322 | -0.0146 | -0.0192 | -0.0201 | -0.1272 | 0.0640 | -0.1095 | 0.1195 | 0.0907 | 0.1361 | -0.1532 | -0.0085 | -0.0170 | 0.0821 | -0.0069 | 0.0018 | 0.0173 | -0.0511 | 0.0376 | 0.0225 | -0.0817 | -0.0425 | 0.0618 | -0.0240 | -0.0337 | -0.0110 | 0.0231 | 0.0233 | -0.0269 | -0.0076 | -0.0052 | -0.0387 | 0.0280 | 0.0056 | -0.0195 | -0.0172 | -0.0639 | 0.0041 | -0.1102 | 0.2259 | 0.1947 | -0.3299 | 0.1035 | 0.1488 | 0.1836 | 0.1643 | -0.0412 | 0.3891 | -0.3302 | 0.0085 | -0.0675 | 0.0898 | -0.0400 | -0.0453 | -0.0128 | -0.0303 | -0.0606 | 0.0226 | -0.0223 | -0.0088 |
| 1029-3 | 1029-3 | Biopsy | H. sapiens | 1 | #E7298A | 1029-3 | 0.1388 | 0.0641 | 0.1388 | 0.0641 | 0.0340 | -0.0002 | 0.0379 | -0.1903 | 0.2389 | 0.0163 | -0.0922 | 0.1052 | 0.1339 | -0.1313 | -0.0477 | 0.0814 | 0.0368 | -0.0601 | 0.0403 | 0.1162 | 0.0769 | -0.0353 | 0.0401 | -0.0341 | -0.0160 | -0.0376 | 0.0559 | -0.0580 | -0.0462 | 0.0361 | -0.0018 | -0.0148 | 0.0494 | 0.1103 | 0.0333 | 0.0165 | 0.0085 | 0.0384 | 0.0563 | -0.0259 | -0.0690 | 0.0198 | -0.0294 | 0.0129 | -0.0581 | 0.0713 | -0.0975 | 0.0779 | 0.1072 | 0.1018 | -0.0951 | 0.1048 | -0.1626 | 0.0703 | 0.0670 | -0.0139 | -0.0752 | -0.0547 | 0.0400 | -0.0431 | 0.0792 | -0.0967 | 0.0143 | 0.0711 | -0.1419 | 0.0158 | -0.1641 | 0.1325 | 0.0607 | -0.0264 | 0.1543 | -0.0253 | -0.0693 | 0.0334 | 0.0018 | 0.1002 | -0.2686 | 0.0458 | -0.0986 | -0.4712 | -0.2173 | 0.2815 | -0.0514 | -0.1890 | -0.0831 | 0.0010 | 0.0006 | -0.0759 | 0.0065 | -0.0481 | 0.0572 | -0.0450 | -0.0082 | -0.0075 | 0.0025 | 0.0049 | 0.0372 | 0.0007 | -0.0078 | 0.0019 |
| 1036-1 | 1036-1 | Biopsy | H. sapiens | 1 | #E7298A | 1036-1 | 0.1249 | 0.0543 | 0.1249 | 0.0543 | -0.0013 | -0.0321 | -0.1305 | 0.0863 | -0.2131 | -0.0645 | 0.0402 | -0.0565 | 0.0956 | 0.0057 | 0.1091 | -0.0639 | -0.0437 | 0.0327 | 0.0235 | 0.0184 | 0.0469 | 0.0361 | 0.0832 | 0.1466 | 0.2859 | 0.1514 | -0.0640 | -0.0126 | 0.1075 | 0.0754 | -0.0416 | -0.1190 | 0.0578 | 0.0531 | 0.0007 | -0.0609 | 0.0298 | 0.1104 | 0.1219 | -0.1662 | 0.1089 | 0.0760 | -0.0825 | -0.0316 | 0.0233 | 0.1276 | -0.1498 | 0.1994 | 0.1056 | -0.0081 | -0.0874 | -0.0612 | -0.0091 | 0.1095 | -0.0871 | 0.0169 | 0.0108 | 0.0116 | 0.0974 | -0.2559 | 0.2508 | -0.0492 | -0.1849 | -0.0165 | -0.0322 | 0.0103 | 0.1016 | 0.0295 | -0.0096 | -0.0714 | 0.1772 | 0.0929 | 0.0032 | 0.0532 | 0.0952 | -0.0139 | 0.0608 | 0.0421 | 0.0701 | 0.2490 | -0.1079 | 0.2207 | 0.1201 | -0.0789 | 0.2396 | -0.0161 | -0.1199 | -0.0203 | -0.0105 | 0.0289 | 0.0138 | 0.0071 | 0.0140 | -0.0024 | 0.0006 | 0.0280 | 0.0498 | 0.0202 | 0.0094 | 0.0173 |
| 1036-2 | 1036-2 | Biopsy | H. sapiens | 1 | #E7298A | 1036-2 | 0.1376 | 0.0767 | 0.1376 | 0.0767 | 0.0048 | 0.0057 | 0.0959 | 0.0254 | -0.2327 | -0.0185 | 0.0351 | -0.2082 | 0.0980 | 0.0185 | 0.1560 | -0.0212 | -0.0266 | 0.0343 | -0.0043 | 0.1759 | 0.1465 | -0.0856 | 0.0747 | 0.1350 | 0.2563 | 0.0613 | 0.0141 | 0.0451 | 0.1539 | -0.0136 | -0.0237 | -0.1111 | 0.1679 | 0.1482 | -0.0548 | -0.1106 | -0.0222 | -0.0682 | 0.0232 | 0.0077 | 0.0383 | -0.1517 | -0.0558 | -0.0411 | -0.0848 | 0.0449 | -0.0296 | 0.1298 | -0.0717 | 0.0607 | -0.1382 | -0.1205 | 0.1987 | 0.0237 | -0.1057 | 0.0401 | 0.0841 | 0.0518 | -0.1503 | 0.1852 | -0.1820 | 0.0781 | 0.0755 | -0.0400 | -0.0616 | -0.0412 | -0.0923 | -0.0237 | 0.0307 | 0.0844 | -0.1032 | 0.0249 | 0.0705 | -0.2206 | -0.2196 | 0.0268 | 0.0909 | -0.0263 | 0.0613 | -0.2830 | 0.0132 | -0.0792 | -0.0792 | 0.0212 | -0.1445 | 0.0614 | 0.1189 | 0.0361 | -0.0675 | -0.0499 | -0.0087 | -0.0015 | -0.0005 | 0.0061 | -0.0255 | -0.0162 | 0.0087 | -0.0311 | -0.0067 | -0.0033 |
| 1036-3 | 1036-3 | Biopsy | H. sapiens | 1 | #E7298A | 1036-3 | 0.1380 | 0.0933 | 0.1380 | 0.0933 | 0.0176 | 0.0273 | 0.2652 | -0.0207 | -0.0207 | -0.0294 | -0.0509 | 0.1998 | 0.1039 | -0.0292 | -0.0264 | 0.0641 | 0.0673 | -0.0783 | -0.0859 | 0.1776 | 0.1351 | -0.1378 | 0.0671 | 0.0599 | 0.1494 | 0.0751 | -0.0067 | -0.0783 | 0.0541 | -0.0083 | -0.1556 | -0.0042 | 0.1649 | 0.2604 | 0.1278 | -0.0704 | -0.0125 | -0.0715 | 0.0384 | -0.1422 | 0.1413 | -0.1573 | 0.0692 | 0.1154 | 0.0217 | -0.1305 | 0.0572 | -0.1941 | 0.0704 | -0.0879 | 0.2165 | 0.1372 | -0.0515 | -0.0665 | 0.2490 | 0.0267 | -0.0667 | -0.1168 | 0.1033 | 0.0710 | 0.0386 | 0.2289 | -0.0551 | 0.0867 | -0.0210 | -0.0156 | -0.0557 | -0.0748 | 0.0315 | 0.1140 | -0.0480 | -0.0847 | -0.0044 | 0.1465 | 0.1378 | -0.0650 | -0.0324 | -0.0271 | -0.0109 | 0.2015 | 0.0726 | -0.0503 | 0.0006 | 0.1163 | -0.0300 | -0.0922 | 0.0043 | -0.0344 | 0.0900 | 0.0200 | -0.0021 | 0.0000 | 0.0204 | 0.0195 | 0.0071 | 0.0029 | -0.0180 | 0.0044 | 0.0332 | -0.0018 |
| 1037-1 | 1037-1 | Biopsy | H. sapiens | 1 | #E7298A | 1037-1 | 0.1273 | 0.0702 | 0.1273 | 0.0702 | 0.0021 | -0.0067 | 0.1337 | 0.1629 | -0.0407 | -0.0566 | -0.0771 | 0.0685 | 0.0983 | -0.0749 | 0.0436 | -0.0486 | 0.0327 | -0.0905 | -0.2350 | 0.0480 | 0.1302 | 0.0642 | -0.0553 | -0.0419 | -0.0247 | 0.0131 | -0.0718 | 0.0370 | 0.0311 | -0.0782 | -0.1675 | 0.2460 | -0.0342 | -0.0778 | 0.1659 | 0.1121 | 0.0601 | -0.0486 | -0.1120 | -0.0120 | -0.0213 | 0.0605 | 0.0758 | -0.0617 | -0.0718 | -0.0063 | -0.0609 | 0.1069 | -0.1854 | -0.1329 | 0.0891 | 0.1069 | 0.1622 | -0.0974 | 0.1454 | -0.0768 | -0.0185 | 0.2595 | -0.0892 | -0.1612 | -0.0008 | -0.1231 | 0.0104 | -0.0756 | 0.1832 | -0.0098 | 0.2390 | -0.0143 | -0.1218 | -0.0790 | 0.0308 | 0.0238 | 0.0318 | 0.2002 | 0.0811 | -0.0389 | 0.1038 | 0.0065 | 0.0509 | -0.2150 | -0.0481 | 0.0727 | 0.0189 | -0.0408 | -0.0420 | 0.1509 | 0.0823 | 0.1558 | -0.2057 | 0.0097 | -0.0161 | 0.0288 | 0.0048 | -0.0387 | 0.0309 | -0.0480 | -0.0281 | 0.0006 | -0.0127 | -0.0073 |
| 1037-2 | 1037-2 | Biopsy | H. sapiens | 1 | #E7298A | 1037-2 | 0.1414 | 0.0912 | 0.1414 | 0.0912 | 0.0125 | 0.0071 | 0.1034 | -0.0051 | -0.1552 | 0.0295 | 0.0540 | -0.3636 | 0.0437 | -0.0396 | 0.1925 | -0.0572 | 0.0291 | -0.0417 | -0.0856 | 0.1708 | 0.1674 | -0.0590 | -0.1799 | -0.1739 | -0.1572 | -0.1031 | -0.0571 | 0.0290 | 0.0526 | 0.0568 | 0.0895 | 0.3656 | -0.0297 | -0.1456 | 0.1545 | 0.2711 | 0.0238 | 0.0121 | 0.0063 | 0.1317 | 0.0151 | -0.0563 | 0.0238 | -0.0428 | 0.2257 | 0.0290 | 0.0074 | -0.0347 | 0.0864 | 0.0502 | -0.1400 | 0.0424 | -0.1899 | 0.1953 | 0.0518 | 0.0297 | 0.0201 | -0.0144 | 0.0100 | 0.0461 | 0.1220 | 0.0063 | -0.0649 | 0.0817 | 0.0028 | 0.0295 | -0.0631 | -0.0130 | 0.0793 | 0.0613 | -0.0449 | 0.0136 | 0.0915 | -0.1296 | -0.0284 | -0.0279 | -0.0554 | -0.0001 | -0.0183 | 0.1267 | 0.0297 | 0.0089 | -0.0308 | 0.0090 | 0.0295 | -0.0758 | -0.0534 | -0.0770 | 0.1005 | 0.0028 | 0.0225 | -0.0139 | -0.0004 | 0.0196 | 0.0054 | 0.0030 | -0.0074 | 0.0015 | 0.0118 | 0.0134 |
| 1031-1 | 1031-1 | Biopsy | H. sapiens | 1 | #E7298A | 1031-1 | 0.1336 | 0.0678 | 0.1336 | 0.0678 | -0.0022 | -0.0104 | 0.0048 | 0.0818 | -0.1219 | -0.1205 | 0.0168 | 0.1744 | 0.1128 | -0.0871 | -0.0104 | 0.0075 | -0.0140 | -0.0267 | -0.1090 | -0.1288 | -0.0060 | 0.1035 | 0.0290 | 0.0273 | 0.1017 | 0.1606 | -0.1106 | 0.0848 | -0.1124 | -0.1691 | -0.0229 | -0.0261 | -0.2364 | -0.1959 | -0.0043 | -0.2406 | -0.0411 | 0.1285 | -0.1249 | 0.0748 | -0.0135 | 0.1481 | 0.0112 | -0.0090 | 0.1655 | -0.0309 | -0.0228 | 0.0488 | -0.1369 | -0.1342 | -0.0537 | 0.1025 | 0.0479 | -0.0323 | 0.1336 | -0.0489 | 0.0197 | -0.0282 | 0.1519 | 0.1641 | 0.1969 | -0.0494 | 0.0892 | 0.1122 | -0.1042 | 0.0636 | -0.2593 | -0.0445 | 0.0448 | -0.1076 | -0.1972 | -0.1261 | -0.0352 | -0.2450 | -0.1436 | 0.1022 | -0.1639 | -0.0245 | -0.1089 | 0.0531 | -0.0113 | -0.0528 | 0.0028 | -0.0057 | 0.0770 | 0.0120 | -0.0241 | 0.0830 | -0.0523 | -0.0006 | 0.0093 | 0.0164 | 0.0166 | -0.0294 | 0.0156 | -0.0105 | -0.0004 | -0.0193 | 0.0050 | -0.0101 |
| 1031-3 | 1031-3 | Biopsy | H. sapiens | 1 | #E7298A | 1031-3 | 0.1368 | 0.0601 | 0.1368 | 0.0601 | 0.0233 | -0.0028 | 0.0008 | -0.1942 | 0.1407 | -0.0432 | -0.0404 | 0.2655 | 0.0866 | -0.0477 | -0.0768 | 0.0474 | 0.0361 | -0.0708 | -0.1493 | -0.0621 | 0.0206 | -0.0699 | 0.0619 | -0.0445 | 0.0105 | 0.1650 | -0.1421 | 0.1383 | -0.0151 | 0.0547 | -0.0934 | -0.0375 | -0.0750 | 0.0609 | -0.0802 | -0.0116 | 0.1069 | 0.0596 | -0.0004 | 0.1104 | 0.0080 | 0.1823 | 0.0638 | -0.1386 | 0.4369 | 0.0062 | 0.1000 | -0.1073 | 0.0317 | 0.0342 | -0.1041 | -0.2098 | -0.0258 | 0.2450 | -0.2663 | 0.0163 | 0.1154 | -0.0252 | -0.1405 | 0.0009 | -0.1608 | 0.0080 | 0.0482 | -0.0626 | 0.0782 | 0.0450 | 0.0219 | -0.0033 | 0.0298 | 0.1566 | -0.0584 | 0.0177 | 0.0629 | 0.1326 | 0.0812 | -0.1152 | 0.1585 | -0.0142 | 0.1175 | -0.0300 | 0.0202 | 0.0423 | -0.0079 | 0.0057 | -0.0231 | -0.0011 | 0.0228 | -0.0413 | 0.0203 | -0.0029 | -0.0191 | 0.0060 | 0.0030 | 0.0101 | -0.0270 | 0.0282 | 0.0144 | -0.0132 | 0.0025 | 0.0042 |
| 2002-1 | 2002-1 | Biopsy | H. sapiens | 1 | #E7298A | 2002-1 | 0.1218 | 0.0478 | 0.1218 | 0.0478 | -0.0087 | -0.0011 | 0.0224 | 0.2010 | -0.0974 | -0.0413 | -0.0656 | 0.1014 | 0.1217 | 0.0107 | 0.0470 | -0.0414 | -0.0094 | -0.0021 | 0.1053 | 0.0528 | 0.0240 | 0.1566 | 0.0094 | -0.0371 | -0.0789 | -0.1438 | 0.1449 | -0.2342 | -0.0945 | 0.1481 | 0.1480 | -0.0343 | -0.1142 | 0.0142 | 0.1264 | -0.0007 | -0.0209 | -0.0452 | 0.0788 | 0.0165 | 0.0807 | 0.1232 | -0.0227 | 0.0574 | 0.0455 | -0.0853 | 0.1728 | -0.0149 | -0.1862 | -0.0501 | -0.1169 | 0.0515 | 0.0867 | 0.1625 | -0.1943 | 0.0125 | -0.0875 | -0.1506 | -0.0790 | 0.1044 | -0.2210 | 0.2339 | -0.0449 | -0.0985 | 0.0019 | -0.2612 | 0.1473 | -0.1115 | -0.1857 | -0.1255 | -0.0656 | -0.0432 | -0.1878 | 0.0558 | -0.0403 | 0.1694 | -0.1008 | 0.0076 | -0.0993 | 0.0616 | -0.0587 | 0.1838 | 0.0453 | -0.0358 | 0.0144 | -0.0350 | -0.0330 | -0.0315 | 0.0154 | 0.0158 | 0.0056 | -0.0224 | -0.0040 | 0.0109 | 0.0190 | -0.0419 | 0.0075 | 0.0091 | 0.0022 | -0.0027 |
| 1019-2 | 1019-2 | Biopsy | H. sapiens | 1 | #E7298A | 1019-2 | 0.1255 | 0.0542 | 0.1255 | 0.0542 | -0.0156 | -0.0147 | -0.0255 | 0.1560 | -0.1733 | -0.0557 | -0.0136 | -0.0593 | 0.0422 | 0.0131 | 0.1048 | -0.0939 | -0.0667 | 0.0676 | 0.1015 | -0.0565 | 0.0214 | 0.2320 | 0.0441 | 0.1286 | 0.0958 | -0.0264 | 0.0333 | 0.0157 | -0.0103 | -0.0232 | 0.0081 | -0.1335 | -0.0999 | -0.0220 | -0.1471 | -0.0473 | 0.0486 | 0.0145 | -0.0097 | 0.0653 | -0.0329 | 0.0787 | 0.0141 | -0.1826 | 0.1291 | -0.0258 | -0.0472 | -0.0683 | 0.2093 | 0.0867 | 0.1044 | 0.0846 | -0.1667 | 0.0110 | 0.1288 | -0.0321 | -0.0457 | 0.0496 | -0.1744 | -0.1104 | -0.1632 | -0.0530 | -0.0661 | -0.0447 | 0.1102 | 0.0822 | 0.0491 | 0.1935 | -0.0310 | -0.0535 | 0.1554 | 0.0065 | -0.0132 | 0.1321 | 0.1364 | 0.0308 | -0.2588 | 0.0361 | -0.1734 | -0.0618 | 0.1549 | -0.3155 | -0.0930 | 0.0860 | -0.2508 | -0.0670 | 0.0470 | -0.0253 | 0.1371 | 0.0033 | -0.0075 | -0.0312 | -0.0184 | 0.0222 | 0.0058 | -0.0033 | -0.0306 | 0.0044 | 0.0061 | -0.0176 |
| 1019-3 | 1019-3 | Biopsy | H. sapiens | 1 | #E7298A | 1019-3 | 0.1372 | 0.0618 | 0.1372 | 0.0618 | -0.0096 | -0.0095 | 0.0325 | -0.0086 | -0.1208 | -0.0736 | -0.0255 | 0.0641 | 0.0569 | -0.0266 | -0.0201 | -0.0490 | -0.0500 | 0.0134 | 0.0735 | -0.0293 | 0.0029 | 0.2731 | 0.0475 | 0.0316 | -0.0414 | -0.2382 | 0.1946 | -0.0341 | -0.0817 | -0.0334 | 0.0291 | -0.1385 | 0.0335 | 0.0295 | -0.1582 | -0.0625 | 0.0228 | -0.1218 | -0.1390 | 0.2134 | -0.1190 | -0.1648 | -0.0115 | 0.0008 | 0.0187 | -0.0251 | 0.0839 | -0.2386 | 0.1876 | 0.1268 | 0.1204 | 0.0364 | -0.1575 | -0.0922 | 0.1273 | 0.0559 | -0.0507 | 0.1104 | -0.1283 | -0.0125 | 0.0061 | -0.0589 | 0.0352 | 0.0781 | 0.1184 | 0.0645 | -0.0348 | -0.0718 | 0.0276 | 0.0761 | -0.0734 | 0.0322 | 0.0781 | -0.1137 | -0.1199 | -0.0720 | 0.2058 | -0.0369 | 0.1926 | 0.0493 | -0.1182 | 0.2920 | 0.0864 | -0.0606 | 0.2118 | 0.0764 | -0.0561 | 0.0311 | -0.1205 | -0.0360 | -0.0010 | 0.0128 | 0.0319 | -0.0229 | 0.0191 | 0.0092 | 0.0095 | 0.0003 | -0.0013 | 0.0145 |
| 2004-1 | 2004-1 | Biopsy | H. sapiens | 1 | #E7298A | 2004-1 | 0.1342 | 0.0826 | 0.1342 | 0.0826 | -0.0185 | 0.0070 | 0.2031 | 0.2553 | -0.0614 | 0.0423 | -0.1219 | 0.0848 | -0.0936 | 0.2636 | 0.0588 | -0.1226 | -0.0603 | 0.0865 | 0.0329 | -0.0305 | -0.1085 | 0.0253 | -0.0553 | -0.0427 | -0.3249 | -0.0193 | 0.0329 | 0.1726 | -0.1826 | 0.1539 | -0.2083 | -0.0259 | 0.1449 | 0.3160 | -0.1985 | 0.1350 | 0.1429 | 0.0074 | 0.1512 | -0.0950 | -0.2436 | 0.1494 | 0.0662 | 0.0420 | 0.0417 | -0.0118 | -0.0296 | 0.0668 | -0.0722 | -0.0733 | 0.0249 | 0.0034 | 0.0309 | -0.0611 | -0.1303 | 0.0401 | 0.0282 | -0.0016 | 0.1218 | -0.0146 | 0.1371 | -0.0357 | -0.0516 | 0.0196 | -0.1419 | -0.0184 | -0.0633 | 0.0304 | 0.0558 | 0.0374 | 0.0135 | 0.0113 | 0.0686 | -0.1136 | -0.0482 | -0.0370 | -0.0423 | 0.0248 | -0.0133 | -0.0104 | 0.0444 | -0.0577 | -0.0237 | 0.0124 | 0.0230 | 0.0266 | 0.0262 | 0.0290 | -0.0265 | -0.0095 | 0.0064 | 0.0297 | -0.0223 | 0.0018 | -0.0220 | -0.0042 | -0.0185 | 0.0111 | 0.0034 | -0.0007 |
| 2004-2 | 2004-2 | Biopsy | H. sapiens | 1 | #E7298A | 2004-2 | 0.1494 | 0.1174 | 0.1494 | 0.1174 | 0.0274 | 0.0325 | 0.2515 | -0.2907 | -0.2754 | -0.0951 | 0.1167 | 0.0148 | -0.1493 | 0.2064 | 0.0166 | 0.0045 | 0.0559 | 0.1626 | 0.2477 | 0.0774 | -0.1647 | -0.3433 | -0.1687 | -0.0106 | -0.1623 | 0.0409 | -0.0113 | -0.1523 | -0.1155 | -0.1014 | 0.0152 | -0.0680 | -0.2498 | -0.0641 | 0.1409 | -0.2069 | -0.0385 | -0.0796 | -0.1054 | 0.0203 | -0.1152 | 0.1015 | -0.0527 | -0.0306 | -0.0703 | 0.0644 | -0.1290 | 0.1023 | 0.0494 | 0.0547 | -0.0104 | -0.0075 | 0.0684 | -0.0200 | 0.0421 | -0.0384 | 0.0192 | -0.0161 | -0.0127 | -0.0321 | -0.0914 | -0.0102 | 0.0626 | -0.0140 | 0.0169 | 0.0440 | 0.0160 | 0.0114 | 0.0258 | 0.0180 | 0.0346 | -0.0275 | -0.0309 | 0.1517 | 0.0933 | -0.0457 | 0.0575 | -0.0138 | 0.0245 | 0.0220 | -0.0222 | 0.0440 | 0.0218 | -0.0155 | 0.0175 | 0.0111 | -0.0125 | 0.0038 | -0.0001 | 0.0190 | -0.0001 | 0.0002 | -0.0045 | -0.0032 | -0.0004 | 0.0129 | 0.0208 | 0.0005 | -0.0061 | -0.0015 |
| 2001-2 | 2001-2 | Biopsy | H. sapiens | 1 | #E7298A | 2001-2 | 0.1488 | 0.0865 | 0.1488 | 0.0865 | 0.0015 | 0.0333 | 0.2558 | -0.1083 | 0.0031 | -0.0279 | -0.0293 | 0.0423 | -0.1350 | -0.0212 | -0.0937 | -0.0694 | -0.0223 | -0.0050 | -0.0674 | -0.2115 | -0.0523 | 0.2853 | 0.0053 | 0.1056 | 0.1353 | -0.0082 | -0.0214 | -0.0749 | 0.0017 | 0.0124 | -0.0323 | 0.2712 | 0.0109 | 0.0485 | 0.2031 | 0.0068 | -0.0123 | -0.1113 | -0.0434 | 0.0394 | 0.0583 | -0.1162 | -0.0672 | 0.1628 | -0.1467 | 0.0535 | 0.0512 | -0.0907 | 0.0891 | 0.1420 | -0.0649 | -0.4091 | -0.0151 | -0.1564 | -0.2780 | 0.0211 | 0.0432 | -0.0206 | 0.1475 | -0.0954 | 0.0833 | -0.1713 | 0.1085 | -0.0294 | 0.0277 | 0.0149 | -0.0242 | -0.0104 | -0.0600 | -0.1240 | -0.0354 | -0.0154 | -0.0665 | -0.0122 | 0.0102 | 0.0569 | -0.0720 | 0.0243 | -0.0600 | 0.0493 | -0.0051 | -0.1000 | -0.0351 | -0.0157 | -0.0908 | -0.0488 | 0.0296 | -0.0570 | 0.0757 | 0.0125 | 0.0092 | -0.0111 | 0.0021 | -0.0008 | 0.0101 | -0.0139 | -0.0064 | -0.0132 | 0.0181 | 0.0029 |
| 2001-3 | 2001-3 | Biopsy | H. sapiens | 1 | #E7298A | 2001-3 | 0.1537 | 0.0835 | 0.1537 | 0.0835 | 0.0206 | 0.0362 | 0.2625 | -0.1469 | 0.2480 | 0.1213 | -0.1183 | -0.0818 | -0.2787 | 0.0596 | -0.0151 | -0.0568 | -0.0589 | 0.1188 | 0.0676 | -0.2844 | -0.1173 | 0.1713 | -0.0082 | 0.1763 | 0.1942 | 0.1747 | -0.1342 | 0.0496 | 0.2080 | 0.0941 | 0.2166 | -0.0023 | 0.0151 | -0.0252 | 0.0279 | 0.1811 | -0.0901 | 0.0337 | 0.0507 | 0.0049 | -0.0493 | 0.0716 | -0.0229 | -0.0199 | -0.0684 | -0.0371 | 0.0357 | 0.0406 | -0.1245 | -0.0415 | -0.0699 | 0.3239 | -0.0431 | 0.1034 | 0.1289 | -0.0307 | -0.0397 | 0.0008 | -0.1028 | 0.1327 | -0.0927 | 0.0921 | -0.0555 | 0.0017 | -0.0043 | 0.0199 | 0.0407 | 0.0569 | 0.0551 | 0.0865 | 0.0179 | 0.0086 | 0.0586 | -0.0219 | -0.0177 | -0.0079 | 0.0469 | -0.0232 | 0.0169 | 0.0404 | 0.0140 | 0.0559 | 0.0585 | -0.0036 | 0.0915 | 0.0511 | -0.0156 | 0.0552 | -0.0520 | -0.0005 | 0.0098 | 0.0136 | -0.0137 | 0.0022 | 0.0005 | -0.0055 | 0.0023 | 0.0090 | -0.0127 | 0.0034 |
| 2003-3 | 2003-3 | Biopsy | H. sapiens | 1 | #E7298A | 2003-3 | 0.1451 | 0.0771 | 0.1451 | 0.0771 | 0.0270 | 0.0163 | 0.1930 | -0.0855 | 0.1820 | 0.0830 | -0.1111 | -0.0136 | -0.0264 | 0.0070 | 0.0607 | -0.0002 | 0.0007 | -0.0125 | -0.0380 | 0.0574 | 0.0897 | -0.0321 | 0.0100 | -0.0733 | -0.0364 | -0.1586 | 0.1527 | -0.0972 | 0.0738 | 0.1269 | 0.3114 | -0.2635 | -0.0368 | -0.3121 | -0.1957 | 0.0872 | -0.0227 | 0.0920 | 0.0847 | -0.1004 | 0.1331 | -0.1096 | 0.1206 | -0.1017 | 0.2271 | -0.0412 | -0.1158 | 0.0825 | 0.0491 | -0.1509 | 0.1606 | -0.1926 | 0.2099 | -0.2283 | 0.0194 | 0.0113 | 0.1069 | 0.0722 | 0.1226 | -0.0137 | 0.1207 | -0.0236 | -0.0385 | -0.0058 | -0.0548 | -0.0021 | -0.0275 | -0.0201 | -0.0333 | -0.1037 | 0.0081 | -0.0014 | -0.1207 | 0.0169 | 0.0197 | 0.0139 | 0.1030 | -0.0070 | 0.0532 | 0.0058 | 0.0319 | -0.0226 | -0.0453 | -0.0078 | -0.0820 | 0.0185 | 0.0541 | -0.0265 | 0.0271 | -0.0154 | 0.0168 | 0.0030 | -0.0067 | -0.0068 | 0.0110 | -0.0073 | 0.0089 | -0.0154 | 0.0156 | 0.0045 |
write.csv(q2_pca$table, file = "coords/q2_pca_coords.csv")6 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 FALSEones_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'")## There were 105, now there are 30 samples.plot_pca(plot_expt)$plot
plot_monocyte <- subset_expt(plot_expt, subset = "typeofcells=='Monocytes'&tubelabelorigin!='su2072'")## 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 14672 genes, now there are 262.## There are 6 samples which kept less than 90 percent counts.## 2068m1 2073m1 2068m2 2073m2 2068m3 2073m3
## 2.212 1.574 1.828 1.465 1.824 1.505hallmark_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 3plot_long <- merge(plot_long, fData(plot_monocyte), by.x = "gene", by.y = "row.names")
dim(plot_long)## [1] 30 16plot_long <- merge(plot_long, pData(plot_monocyte), by = "samplename")
dim(plot_long)## [1] 30 97library(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 75c439759cfc03b66dda979814171e43e69506ca## This is hpgltools commit: Thu Apr 22 12:37:06 2021 -0400: 75c439759cfc03b66dda979814171e43e69506ca## Saving to tmrc3_02sample_estimation_v202103.rda.xztmp <- loadme(filename = savefile)---
title: "TMRC3 Comprehensive Data Analysis: 202103"
author: "atb abelew@gmail.com"
date: "`r Sys.Date()`"
output:
 html_document:
  code_download: true
  code_folding: show
  fig_caption: true
  fig_height: 7
  fig_width: 7
  highlight: default
  keep_md: false
  mode: selfcontained
  number_sections: true
  self_contained: true
  theme: readable
  toc: true
  toc_float:
   collapsed: false
   smooth_scroll: false
---

<style>
  body .main-container {
    max-width: 1600px;
  }
</style>

```{r options, include = FALSE}
library(hpgltools)
tt <- sm(devtools::load_all("~/hpgltools"))
knitr::opts_knit$set(progress = TRUE,
                     verbose = TRUE,
                     width = 120,
                     echo = TRUE)
knitr::opts_chunk$set(error = TRUE,
                      fig.width = 12,
                      fig.height = 12,
                      dpi = 96)
old_options <- options(digits = 4,
                       stringsAsFactors = FALSE,
                       knitr.duplicate.label = "allow")
ggplot2::theme_set(ggplot2::theme_bw(base_size = 12))
ver <- "202103"
rundate <- format(Sys.Date(), format = "%Y%m%d")

rmd_file <- "tmrc3_02sample_estimation_v202103.Rmd"
savefile <- gsub(pattern = "\\.Rmd", replace = "\\.rda\\.xz", x = rmd_file)
```

# 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.

# 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.

```{r hs_annot}
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")]
```

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

# Sample Estimation

## Generate expressionsets

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

```{r samplesheet}
samplesheet <- "sample_sheets/tmrc3_samples_202103.xlsx"
```

### 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.

```{r all_new_hisat2}
## Create the expressionset and immediately pass it to a filter
## removing the non protein coding genes.
hs_expt <- sm(create_expt(samplesheet,
                          file_column = "hg38100hisatfile",
                          savefile = glue::glue("hs_expt_all-v{ver}.rda"),
                          gene_info = hs_annot)) %>%
  exclude_genes_expt(column = "gene_biotype", method = "keep", pattern = "protein_coding")
```

#### Initial metrics

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

```{r initial_metrics}
nonzero <- plot_nonzero(hs_expt)
nonzero$plot
```

## Minimum coverage sample filtering

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

```{r hisat2_write, fig.show = "hide"}
hs_valid <- subset_expt(hs_expt, nonzero = 11000)

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

# 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.

## 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.

## Global view

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

```{r pre_questions}
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 = "PCA - Cell type")
pp(file = glue("images/tmrc3_pca_nolabels-v{ver}.png"), image = all_pca$plot)

write.csv(all_pca$table, file = "coords/hs_donor_pca_coords.csv")
plot_corheat(all_norm, plot_title = "Heirarchical clustering - cell types")$plot
```

## 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'.

```{r all_clinical}
chosen_colors <- c("#D95F02", "#7570B3", "#1B9E77", "#FF0000")
names(chosen_colors) <- c("cure", "failure", "lost", "null")
newnames <- pData(hs_valid)[["samplename"]]

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

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, cis = NULL,
                         plot_title = "PCA - clinical samples")
pp(file = glue("images/all_clinical_nobatch_pca-v{ver}.png"), image = clinical_pca$plot,
   height = 8, width = 20)
```

### Repeat without the biopsy samples

```{r ibid_nobiopsy}
hs_clinical_nobiop <- hs_clinical %>%
  subset_expt(subset = "typeofcells!='Biopsy'")

hs_clinical_nobiop_norm <- sm(normalize_expt(hs_clinical_nobiop, filter = TRUE, transform = "log2",
                                             convert = "cpm", norm = "quant"))
clinical_nobiop_pca <- plot_pca(hs_clinical_nobiop_norm, plot_labels = FALSE, cis = NULL,
                                plot_title = "PCA - clinical samples without biopsies")
pp(file = glue("images/all_clinical_nobiop_nobatch_pca-v{ver}.png"),
   image = clinical_nobiop_pca$plot)
```

### Attempt to correct for the surrogate variables

At this time we have two primary data structures of interest: hs_clinical and hs_clinical_nobiop

```{r clinical_sva}
hs_clinical_nb <- normalize_expt(hs_clinical, filter = TRUE, batch = "svaseq",
                                 transform = "log2", convert = "cpm")
clinical_batch_pca <- plot_pca(hs_clinical_nb, plot_labels = FALSE, cis = NULL,
                               plot_title = "PCA - clinical samples")
clinical_batch_pca$plot

hs_clinical_nobiop_nb <- sm(normalize_expt(hs_clinical_nobiop, filter = TRUE, batch = "svaseq",
                                           transform = "log2", convert = "cpm"))
clinical_nobiop_batch_pca <- plot_pca(hs_clinical_nobiop_nb,
                                      plot_title = "PCA - clinical samples without biopsies",
                                      plot_labels = FALSE)
pp(file = "images/clinical_batch.png", image = clinical_nobiop_batch_pca$plot)

clinical_nobiop_batch_tsne <- plot_tsne(hs_clinical_nobiop_nb,
                                        plot_title = "tSNE - clinical samples without biopsies",
                                        plot_labels = FALSE)
clinical_nobiop_batch_tsne$plot

test <- simple_varpart(hs_clinical_nobiop)
test$partition_plot
```

## Perform DE of the clinical samples cure vs. fail

```{r clinical_de, fig.show="hide"}
individual_celltypes <- subset_expt(hs_clinical_nobiop, subset="condition!='lost'")
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/individual_celltypes_table-v{ver}.xlsx")))
hs_clinic_sig <- sm(extract_significant_genes(
    hs_clinic_table,
    excel = glue::glue("excel/individual_celltypes_sig-v{ver}.xlsx")))

hs_clinic_sig[["summary_df"]]
```

### Look at only the differential genes

A good suggestion from Theresa was to examine only the most variant
genes from failure vs. cure and see how they change the clustering/etc
results.  This is my attempt to address this query.

```{r small_explore}
hs_clinic_topn <- sm(extract_significant_genes(hs_clinic_table, n = 100))
table <- "failure_vs_cure"
wanted <- rbind(hs_clinic_topn[["deseq"]][["ups"]][[table]],
                hs_clinic_topn[["deseq"]][["downs"]][[table]])

small_expt <- exclude_genes_expt(hs_clinical_nobiop, ids = rownames(wanted), method = "keep")
small_norm <- sm(normalize_expt(small_expt, transform = "log2", convert = "cpm",
                                norm = "quant", filter = TRUE))
plot_pca(small_norm)$plot

small_nb <- normalize_expt(small_expt, transform = "log2", convert = "cpm",
                           batch = "svaseq", norm = "quant", filter = TRUE)
plot_pca(small_nb)$plot
```

```{r clinical_plot}
## DESeq2 MA plot of failure / cure
hs_clinic_table[["plots"]][["failure_vs_cure"]][["deseq_ma_plots"]]$plot

## DESeq2 Volcano plot of failure / cure
hs_clinic_table[["plots"]][["failure_vs_cure"]][["deseq_vol_plots"]]$plot
```

### g:Profiler results using the significant up and down genes

```{r perform_gprofiler}
ups <- hs_clinic_sig[["deseq"]][["ups"]][[1]]
downs <- hs_clinic_sig[["deseq"]][["downs"]][[1]]

hs_clinic_gprofiler_ups <- simple_gprofiler(ups)
hs_clinic_gprofiler_ups[["pvalue_plots"]][["bpp_plot_over"]]
hs_clinic_gprofiler_ups[["pvalue_plots"]][["mfp_plot_over"]]
hs_clinic_gprofiler_ups[["pvalue_plots"]][["reactome_plot_over"]]

##hs_try2 <- simple_gprofiler2(ups)

hs_clinic_gprofiler_downs <- simple_gprofiler(downs)
hs_clinic_gprofiler_downs[["pvalue_plots"]][["bpp_plot_over"]]
hs_clinic_gprofiler_downs[["pvalue_plots"]][["mfp_plot_over"]]
hs_clinic_gprofiler_downs[["pvalue_plots"]][["reactome_plot_over"]]
```

## Perform GSVA on the clinical samples

```{r gsva, fig.show = "hide"}
hs_celltype_gsva_c2 <- sm(simple_gsva(individual_celltypes))
hs_celltype_gsva_c2_sig <- sm(get_sig_gsva_categories(
    hs_celltype_gsva_c2,
    excel = "excel/individual_celltypes_gsva_c2.xlsx"))

broad_c7 <- GSEABase::getGmt("reference/msigdb/c7.all.v7.2.entrez.gmt",
                             collectionType = GSEABase::BroadCollection(category = "c7"),
                             geneIdType = GSEABase::EntrezIdentifier())
hs_celltype_gsva_c7 <- sm(simple_gsva(individual_celltypes, signatures = broad_c7,
                                      msig_xml = "reference/msigdb_v7.2.xml", cores = 10))
hs_celltype_gsva_c7_sig <- sm(get_sig_gsva_categories(
    hs_celltype_gsva_c7,
    excel = "excel/individual_celltypes_gsva_c7.xlsx"))
```

### Print some plots of the GSVA outputs

```{r gsva_plots}
## The raw heatmap of the C2 values
hs_celltype_gsva_c2_sig[["raw_plot"]]
## The 'significance' scores of the C2 values
hs_celltype_gsva_c2_sig[["score_plot"]]
## The subset of scores for categories deemed significantly different.
hs_celltype_gsva_c2_sig[["subset_plot"]]

## The raw heatmap of the C7 values
hs_celltype_gsva_c7_sig[["raw_plot"]]
## The 'significance' scores of the C7 values
hs_celltype_gsva_c7_sig[["score_plot"]]
## The subset of scores for categories deemed significantly different.
hs_celltype_gsva_c7_sig[["subset_plot"]]
```

# Individual Cell types

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

## 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.

### Shared contrasts

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

```{r keepers}
keepers <- list(
  "fail_vs_cure" = c("failure", "cure"))
```

## Monocytes

### Evaluate Monocyte samples

```{r monocytes}
mono <- subset_expt(hs_valid, subset = "typeofcells=='Monocytes'") %>%
  set_expt_conditions(fact = "clinicaloutcome") %>%
  set_expt_batches(fact = "donor") %>%
  set_expt_colors(colors = chosen_colors)
## FIXME set_expt_colors should speak up if there are mismatches here!!!

save_result <- save(mono, file = "rda/monocyte_expt.rda")
mono_norm <- normalize_expt(mono, convert = "cpm", filter = TRUE,
                            transform = "log2", norm = "quant")
plt <- plot_pca(mono_norm, plot_labels = FALSE)$plot
pp(file = glue("images/mono_pca_normalized-v{ver}.pdf"), image = plt)

mono_nb <- normalize_expt(mono, convert = "cpm", filter = TRUE,
                          transform = "log2", batch = "svaseq")
plt <- plot_pca(mono_nb, plot_labels = FALSE)$plot
pp(file = glue("images/mono_pca_normalized_batch-v{ver}.pdf"), image = plt)
```

### DE of Monocyte samples

#### Without sva

```{r de_monocyte, fig.show = "hide"}
mono_de <- sm(all_pairwise(mono, model_batch = FALSE, filter = TRUE))
mono_tables <- sm(combine_de_tables(
    mono_de, keepers = keepers,
    excel = glue::glue("excel/monocyte_clinical_all_tables-v{ver}.xlsx")))
written <- write_xlsx(data = mono_tables[["data"]][[1]],
                      excel = glue::glue("excel/monocyte_clinical_table-v{ver}.xlsx"))
mono_sig <- sm(extract_significant_genes(mono_tables, according_to = "deseq"))
written <- write_xlsx(data = mono_sig[["deseq"]][["ups"]][[1]],
                      excel = glue::glue("excel/monocyte_clinical_sigup-v{ver}.xlsx"))
written <- write_xlsx(data = mono_sig[["deseq"]][["downs"]][[1]],
                      excel = glue::glue("excel/monocyte_clinical_sigdown-v{ver}.xlsx"))

mono_pct_sig <- sm(extract_significant_genes(mono_tables, n = 200,
                                             lfc = NULL, p = NULL, according_to = "deseq"))
written <- write_xlsx(data = mono_pct_sig[["deseq"]][["ups"]][[1]],
                      excel = glue::glue("excel/monocyte_clinical_sigup_pct-v{ver}.xlsx"))
written <- write_xlsx(data = mono_pct_sig[["deseq"]][["downs"]][[1]],
                      excel = glue::glue("excel/monocyte_clinical_sigdown_pct-v{ver}.xlsx"))
mono_sig$summary_df

## Print out a table of the cpm values for other explorations.
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"))
mono_bcpm <- sm(normalize_expt(mono, filter = TRUE, convert = "cpm", batch = "svaseq"))
written <- write_xlsx(data = exprs(mono_bcpm),
                      excel = glue::glue("excel/monocyte_cpm_after_batch-v{ver}.xlsx"))
```

#### With sva

```{r de_mono_sva, fig.show = "hide"}
mono_de_sva <- sm(all_pairwise(mono, model_batch = "svaseq", filter = TRUE))
mono_tables_sva <- sm(combine_de_tables(
    mono_de_sva, keepers = keepers,
    excel = glue::glue("excel/monocyte_clinical_all_tables_sva-v{ver}.xlsx")))
mono_sig_sva <- sm(extract_significant_genes(
    mono_tables_sva,
    excel = glue::glue("excel/monocyte_clinical_sig_tables_sva-v{ver}.xlsx"),
    according_to = "deseq"))
```

#### Monocyte DE plots

First print out the DE plots without and then with sva estimates.

```{r mono_de_plots}
## DESeq2 MA plot of failure / cure
mono_tables[["plots"]][["fail_vs_cure"]][["deseq_ma_plots"]]$plot

## DESeq2 Volcano plot of failure / cure
mono_tables[["plots"]][["fail_vs_cure"]][["deseq_vol_plots"]]$plot

## DESeq2 MA plot of failure / cure with svaseq
mono_tables_sva[["plots"]][["fail_vs_cure"]][["deseq_ma_plots"]]$plot

## DESeq2 Volcano plot of failure / cure with svaseq
mono_tables_sva[["plots"]][["fail_vs_cure"]][["deseq_vol_plots"]]$plot
```

#### Monocyte ontology search

```{r mono_gprofiler}
ups <- mono_sig[["deseq"]][["ups"]][["fail_vs_cure"]]
downs <- mono_sig[["deseq"]][["downs"]][["fail_vs_cure"]]

mono_up_gp <- simple_gprofiler(sig_genes = ups)
mono_up_gp[["pvalue_plots"]][["bpp_plot_over"]]
mono_up_gp[["pvalue_plots"]][["mfp_plot_over"]]
mono_up_gp[["pvalue_plots"]][["reactome_plot_over"]]

mono_down_gp <- simple_gprofiler(sig_genes = downs)
mono_down_gp[["pvalue_plots"]][["bpp_plot_over"]]
mono_down_gp[["pvalue_plots"]][["mfp_plot_over"]]
mono_down_gp[["pvalue_plots"]][["reactome_plot_over"]]
```

#### Monocyte MSigDB query

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

mono_up_goseq_msig <- goseq_msigdb(sig_genes = ups, signatures = broad_c7,
                                   signature_category = "c7", length_db = hs_length)
mono_up_goseq_msig[["pvalue_plots"]][["mfp_plot_over"]]

mono_down_goseq_msig <- goseq_msigdb(sig_genes = downs, signatures = broad_c7,
                                     signature_category = "c7", length_db = hs_length)
mono_down_goseq_msig[["pvalue_plots"]][["mfp_plot_over"]]
```

### Evaluate Neutrophil samples

```{r neutrophils}
neut <- subset_expt(hs_valid, subset = "typeofcells=='Neutrophils'") %>%
  set_expt_conditions(fact = "clinicaloutcome") %>%
  set_expt_batches(fact = "donor") %>%
  set_expt_colors(colors = chosen_colors)

save_result <- save(neut, file = "rda/neutrophil_expt.rda")
neut_norm <- sm(normalize_expt(neut, convert = "cpm", filter = TRUE, transform = "log2"))
plt <- plot_pca(neut_norm, plot_labels = FALSE)$plot
pp(file = glue("images/neut_pca_normalized-v{ver}.pdf"), image = plt)

neut_nb <- sm(normalize_expt(neut, convert = "cpm", filter = TRUE,
                             transform = "log2", batch = "svaseq"))
plt <- plot_pca(neut_nb, plot_labels = FALSE)$plot
pp(file = glue("images/neut_pca_normalized_svaseq-v{ver}.pdf"), image = plt)
```

### DE of Netrophil samples

#### Without sva

```{r neutrophil_de, fig.show = "hide"}
neut_de <- sm(all_pairwise(neut, model_batch = FALSE, filter = TRUE))
neut_tables <- sm(combine_de_tables(
    neut_de, keepers = keepers,
    excel = glue::glue("excel/neutrophil_clinical_all_tables-v{ver}.xlsx")))
written <- write_xlsx(data = neut_tables[["data"]][[1]],
                      excel = glue::glue("excel/neutrophil_clinical_table-v{ver}.xlsx"))
neut_sig <- sm(extract_significant_genes(neut_tables, according_to = "deseq"))
written <- write_xlsx(data = neut_sig[["deseq"]][["ups"]][[1]],
                      excel = glue::glue("excel/neutrophil_clinical_sigup-v{ver}.xlsx"))
written <- write_xlsx(data = neut_sig[["deseq"]][["downs"]][[1]],
                      excel = glue::glue("excel/neutrophil_clinical_sigdown-v{ver}.xlsx"))

neut_pct_sig <- sm(extract_significant_genes(neut_tables, n = 200, lfc = NULL,
                                             p = NULL, according_to = "deseq"))
written <- write_xlsx(data = neut_sig[["deseq"]][["ups"]][[1]],
                      excel = glue::glue("excel/neutrophil_clinical_sigup_pct-v{ver}.xlsx"))
written <- write_xlsx(data = neut_sig[["deseq"]][["downs"]][[1]],
                      excel = glue::glue("excel/neutrophil_clinical_sigdown_pct-v{ver}.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"))
neut_bcpm <- sm(normalize_expt(neut, filter = TRUE, batch = "svaseq", convert = "cpm"))
written <- write_xlsx(data = exprs(neut_bcpm),
                      excel = glue::glue("excel/neutrophil_cpm_after_batch-v{ver}.xlsx"))
```

#### With sva

```{r de_neut_sva, fig.show = "hide"}
neut_de_sva <- sm(all_pairwise(neut, model_batch = "svaseq", filter = TRUE))
neut_tables_sva <- sm(combine_de_tables(
    neut_de_sva, keepers = keepers,
    excel = glue::glue("excel/neutrophil_clinical_all_tables_sva-v{ver}.xlsx")))
neut_sig_sva <- sm(extract_significant_genes(
    neut_tables_sva,
    excel = glue::glue("excel/neutrophil_clinical_sig_tables_sva-v{ver}.xlsx"),
    according_to = "deseq"))
```

#### Neutrophil DE plots

```{r neut_de_plots}
## DESeq2 MA plot of failure / cure
neut_tables[["plots"]][["fail_vs_cure"]][["deseq_ma_plots"]]$plot

## DESeq2 Volcano plot of failure / cure
neut_tables[["plots"]][["fail_vs_cure"]][["deseq_vol_plots"]]$plot

## DESeq2 MA plot of failure / cure with sva
neut_tables_sva[["plots"]][["fail_vs_cure"]][["deseq_ma_plots"]]$plot

## DESeq2 Volcano plot of failure / cure with sva
neut_tables_sva[["plots"]][["fail_vs_cure"]][["deseq_vol_plots"]]$plot
```

#### Neutrophil ontology search

```{r neut_gp}
ups <- neut_sig[["deseq"]][["ups"]][["fail_vs_cure"]]
downs <- neut_sig[["deseq"]][["downs"]][["fail_vs_cure"]]

neut_up_gp <- simple_gprofiler(sig_genes = ups)
neut_up_gp[["pvalue_plots"]][["bpp_plot_over"]]
neut_up_gp[["pvalue_plots"]][["mfp_plot_over"]]
neut_up_gp[["pvalue_plots"]][["reactome_plot_over"]]

neut_down_gp <- simple_gprofiler(downs)
neut_down_gp[["pvalue_plots"]][["bpp_plot_over"]]
neut_down_gp[["pvalue_plots"]][["mfp_plot_over"]]
neut_down_gp[["pvalue_plots"]][["reactome_plot_over"]]
```

#### Neutrophil GSVA query

```{r msig_neut_goseq}
neut_up_goseq_msig <- goseq_msigdb(sig_genes = ups, signatures = broad_c7,
                                   signature_category = "c7", length_db = hs_length)
neut_up_goseq_msig[["pvalue_plots"]][["mfp_plot_over"]]

neut_down_goseq_msig <- goseq_msigdb(sig_genes = downs, signatures = broad_c7,
                                     signature_category = "c7", length_db = hs_length)
neut_down_goseq_msig[["pvalue_plots"]][["mfp_plot_over"]]
```

## Eosinophils

### Evaluate Eosinophil samples

```{r eosinophils}
eo <- subset_expt(hs_valid, subset = "typeofcells=='Eosinophils'") %>%
  set_expt_conditions(fact = "clinicaloutcome") %>%
  set_expt_batches(fact = "donor") %>%
  set_expt_colors(colors = chosen_colors)

save_result <- save(eo, file = "rda/eosinophil_expt.rda")
eo_norm <- sm(normalize_expt(eo, convert = "cpm", transform = "log2",
                             norm = "quant", filter = TRUE))
plt <- plot_pca(eo_norm, plot_labels = FALSE)$plot
pp(file = glue("images/eo_pca_normalized-v{ver}.pdf"), image = plt)

eo_nb <- sm(normalize_expt(eo, convert = "cpm", transform = "log2",
                           filter = TRUE, batch = "svaseq"))
plot_pca(eo_nb)$plot
```

### DE of Eosinophil samples

#### Withouth sva

```{r eosinophil_de, fig.show = "hide"}
eo_de <- sm(all_pairwise(eo, model_batch = FALSE, filter = TRUE))
eo_tables <- sm(combine_de_tables(
    eo_de, keepers = keepers,
    excel = glue::glue("excel/eosinophil_clinical_all_tables-v{ver}.xlsx")))
written <- write_xlsx(data = eo_tables[["data"]][[1]],
                      excel = glue::glue("excel/eosinophil_clinical_table-v{ver}.xlsx"))
eo_sig <- sm(extract_significant_genes(eo_tables, according_to = "deseq"))
written <- write_xlsx(data = eo_sig[["deseq"]][["ups"]][[1]],
                      excel = glue::glue("excel/eosinophil_clinical_sigup-v{ver}.xlsx"))
written <- write_xlsx(data = eo_sig[["deseq"]][["downs"]][[1]],
                      excel = glue::glue("excel/eosinophil_clinical_sigdown-v{ver}.xlsx"))

eo_pct_sig <- sm(extract_significant_genes(eo_tables, n = 200,
                                           lfc = NULL, p = NULL, according_to = "deseq"))
written <- write_xlsx(data = eo_pct_sig[["deseq"]][["ups"]][[1]],
                      excel = glue::glue("excel/eosinophil_clinical_sigup_pct-v{ver}.xlsx"))
written <- write_xlsx(data = eo_pct_sig[["deseq"]][["downs"]][[1]],
                      excel = glue::glue("excel/eosinophil_clinical_sigdown_pct-v{ver}.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"))
eo_bcpm <- sm(normalize_expt(eo, filter = TRUE, batch = "svaseq", convert = "cpm"))
written <- write_xlsx(data = exprs(eo_bcpm),
                      excel = glue::glue("excel/eosinophil_cpm_after_batch-v{ver}.xlsx"))
```

#### With sva

```{r de_eo_sva, fig.show = "hide"}
eo_de_sva <- sm(all_pairwise(eo, model_batch = "svaseq", filter = TRUE))
eo_tables_sva <- sm(combine_de_tables(
    eo_de_sva, keepers = keepers,
    excel = glue::glue("excel/eosinophil_clinical_all_tables_sva-v{ver}.xlsx")))
eo_sig_sva <- sm(extract_significant_genes(
    eo_tables_sva,
    excel = glue::glue("excel/eosinophil_clinical_sig_tables_sva-v{ver}.xlsx"),
    according_to = "deseq"))
```

#### Eosinophil DE plots

```{r eo_de_plots}
## DESeq2 MA plot of failure / cure
eo_tables[["plots"]][["fail_vs_cure"]][["deseq_ma_plots"]]$plot

## DESeq2 Volcano plot of failure / cure
eo_tables[["plots"]][["fail_vs_cure"]][["deseq_vol_plots"]]$plot

## DESeq2 MA plot of failure / cure with sva
eo_tables_sva[["plots"]][["fail_vs_cure"]][["deseq_ma_plots"]]$plot

## DESeq2 Volcano plot of failure / cure with sva
eo_tables_sva[["plots"]][["fail_vs_cure"]][["deseq_vol_plots"]]$plot
```

#### Eosinophil ontology search

```{r eo_gprofiler}
ups <- eo_sig[["deseq"]][["ups"]][["fail_vs_cure"]]
downs <- eo_sig[["deseq"]][["downs"]][["fail_vs_cure"]]

eo_up_gp <- simple_gprofiler(sig_genes = ups)
eo_up_gp[["pvalue_plots"]][["bpp_plot_over"]]
eo_up_gp[["pvalue_plots"]][["mfp_plot_over"]]
eo_up_gp[["pvalue_plots"]][["reactome_plot_over"]]

eo_down_gp <- simple_gprofiler(downs)
eo_down_gp[["pvalue_plots"]][["bpp_plot_over"]]
eo_down_gp[["pvalue_plots"]][["mfp_plot_over"]]
eo_down_gp[["pvalue_plots"]][["reactome_plot_over"]]
```

#### Eosinophil MSigDB query

```{r msig_eo_goseq}
eo_up_goseq_msig <- goseq_msigdb(sig_genes = ups, signatures = broad_c7,
                                 signature_category = "c7", length_db = hs_length)
eo_up_goseq_msig[["pvalue_plots"]][["mfp_plot_over"]]

eo_down_goseq_msig <- goseq_msigdb(sig_genes = downs, signatures = broad_c7,
                                   signature_category = "c7", length_db = hs_length)
eo_down_goseq_msig[["pvalue_plots"]][["mfp_plot_over"]]
```

## Biopsies

### Evaluate Biopsy samples

```{r biopsies}
biop <- subset_expt(hs_valid, subset = "typeofcells=='Biopsy'") %>%
  set_expt_conditions(fact = "clinicaloutcome") %>%
  set_expt_batches(fact = "donor") %>%
  set_expt_colors(colors = chosen_colors)

save_result <- save(biop, file = "rda/biopsy_expt.rda")
biop_norm <- normalize_expt(biop, filter = TRUE, convert = "cpm",
                            transform = "log2", norm = "quant")
plt <- plot_pca(biop_norm, plot_labels = FALSE)$plot
pp(file = glue("images/biop_pca_normalized-v{ver}.pdf"), image = plt)

biop_nb <- sm(normalize_expt(biop, convert = "cpm", filter = TRUE,
                             transform = "log2", batch = "svaseq"))
plt <- plot_pca(biop_nb, plot_labels = FALSE)$plot
pp(file = glue("images/biop_pca_normalized_svaseq-v{ver}.pdf"), image = plt)
```

### DE of Biopsy samples

#### Without sva

```{r de_biopsy, fig.show = "hide"}
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"))
written <- write_xlsx(data = biop_tables[["data"]][[1]],
                      excel = glue::glue("excel/biopsy_clinical_table-v{ver}.xlsx"))
biop_sig <- extract_significant_genes(biop_tables, according_to = "deseq")
##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"))
biop_pct_sig <- extract_significant_genes(biop_tables, n = 200, lfc = NULL, p = NULL, according_to = "deseq")
written <- write_xlsx(data = biop_pct_sig[["deseq"]][["ups"]][[1]],
                      excel = glue::glue("excel/biopsy_clinical_sigup_pct-v{ver}.xlsx"))
written <- write_xlsx(data = biop_pct_sig[["deseq"]][["downs"]][[1]],
                      excel = glue::glue("excel/biopsy_clinical_sigdown_pct-v{ver}.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"))
biop_bcpm <- sm(normalize_expt(biop, filter = TRUE, batch = "svaseq", convert = "cpm"))
written <- write_xlsx(data = exprs(biop_bcpm),
                      excel = glue::glue("excel/biopsy_cpm_after_batch-v{ver}.xlsx"))
```

#### with sva

```{r de_biopsy_sva, fig.show = "hide"}
biop_de_sva <- sm(all_pairwise(biop, model_batch = "svaseq", filter = TRUE))
biop_tables_sva <- sm(combine_de_tables(
    biop_de_sva, keepers = keepers,
    excel = glue::glue("excel/biopsy_clinical_all_tables_sva-v{ver}.xlsx")))
biop_sig_sva <- sm(extract_significant_genes(
    biop_tables_sva,
    excel = glue::glue("excel/biopsy_clinical_sig_tables_sva-v{ver}.xlsx"),
    according_to = "deseq"))
```

#### Biopsy DE plots

```{r biop_de_plots}
## DESeq2 MA plot of failure / cure
biopsy_tables[["plots"]][["fail_vs_cure"]][["deseq_ma_plots"]]$plot

## DESeq2 Volcano plot of failure / cure
biopsy_tables[["plots"]][["fail_vs_cure"]][["deseq_vol_plots"]]$plot

## DESeq2 MA plot of failure / cure
biopsy_tables_sva[["plots"]][["fail_vs_cure"]][["deseq_ma_plots"]]$plot

## DESeq2 Volcano plot of failure / cure
biopsy_tables_sva[["plots"]][["fail_vs_cure"]][["deseq_vol_plots"]]$plot
```

## Separate macrophage experiment

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.

```{r macrophage_zymodeme_experiment}
macr <- subset_expt(hs_valid, subset = "typeofcells=='Macrophages'")
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)
macr_norm <- normalize_expt(macr_norm, transform = "log2")
plt <- plot_pca(macr_norm, plot_labels = FALSE)$plot
pp(file = glue("images/macrophage_side_experiment_norm_pca-v{ver}.pdf"), image = plt)
plt

macr_nb <- normalize_expt(macr, filter = TRUE)
macr_nb <- normalize_expt(macr_nb, norm = "quant", convert = "cpm", transform = "log2")
plt <- plot_pca(macr_nb)$plot
pp(file = glue("images/macrophage_side_experiment-v{ver}/normbatch_pca.pdf"), image = plt)
plt
macr_written <- write_expt(macr, excel = "excel/macrophage_side_experiment/macrophage_expt.xlsx")

zymo_de <- all_pairwise(macr, model_batch = FALSE, filter = TRUE)
zymo_table <- combine_de_tables(zymo_de, excel = "images/macrophage_side_experiment/macrophage_de.xlsx")
```

### 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.

```{r olga_followup}
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$conditions
macr_v2_norm <- normalize_expt(macr_v2, onvert = "cpm", filter = TRUE, norm = "quant")
macr_v2_norm <- normalize_expt(macr_v2_norm, transform = "log2")
plot_pca(macr_v2_norm)$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)

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"))

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"))

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"))

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"))

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"))

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"))
```

## Donor effect

```{r donor}
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")
plot_pca(test)$plot
```

## 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.

```{r question1}
hs_q1 <- subset_expt(hs_valid, subset = "donor=='d1010'|donor=='d1011'")
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$table)
write.csv(q1_pca$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")
## 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$highest[, c(1, 2)]
time_stuff
## Column 1 should be winners vs. time and column 2 by donor.
time_genes <- gsub(x = time_stuff[, "Comp.1"], pattern = "^.*:(.*)$", replacement = "\\1")
head(time_genes)
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")
## 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$highest[, c(1, 2)]
donor_stuff
## Column 1 should be winners vs. donor and column 2 by donor.
donor_genes <- gsub(x = donor_stuff[, "Comp.1"], pattern = "^.*:(.*)$", replacement = "\\1")
head(donor_genes)
donor_subset <- exprs(donor_norm)[donor_genes, ]
plot_sample_heatmap(donor_norm, row_label = rownames(donor_norm))
```

```{r time_donor_de, fig.show = "hide"}
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")
```

```{r question2}
hs_q2 <- subset_expt(hs_valid, subset = "donor!='d1010'&donor!='d1011'")
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$table)
write.csv(q2_pca$table, file = "coords/q2_pca_coords.csv")
```

# 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.

```{r three_timepoint_line}
meta <- hpgltools::extract_metadata(samplesheet)
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"]]
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'")
plot_pca(plot_expt)$plot

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

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

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")
```

```{r saveme}
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))
}
```

```{r loadme_after, eval = FALSE}
tmp <- loadme(filename = savefile)
```
