CompareWilcox

CompareWilcox(
  dataMat = NULL,
  annot = NULL,
  ref_group = NULL,
  groups = NULL,
  featureTab = NULL,
  block = NULL,
  BPPARAM = BiocParallel::bpparam()
)

Arguments

dataMat

A raw count matrix

annot

A cell annotation data.frame

ref_group

List with cells in reference group(s)

groups

List with cells in group(s) to test

featureTab

data.frame with feature annotation

block

Use a blocking factor to conteract batch effect ?

BPPARAM

BPPARAM object for multiprocessing. See bpparam for more informations. Will take the default BPPARAM set in your R session.

Value

A dataframe containing the foldchange and p.value of each feature

Author

Eric Letouze & Celine Vallot & Pacome Prompsy

Examples

data("scExp") scExp_cf = correlation_and_hierarchical_clust_scExp(scExp) scExp_cf = choose_cluster_scExp(scExp_cf,nclust=2,consensus=FALSE) featureTab = as.data.frame(SummarizedExperiment::rowRanges(scExp_cf)) rownames(featureTab) = featureTab$ID ref_group = list("C1"=scExp_cf$cell_id[which(scExp_cf$cell_cluster=="C1")]) groups = list("C2"=scExp_cf$cell_id[which(scExp_cf$cell_cluster=="C2")]) myres = CompareWilcox(as.matrix(SingleCellExperiment::normcounts(scExp_cf)), annot=as.data.frame(SingleCellExperiment::colData(scExp_cf)), ref_group=ref_group,groups=groups, featureTab=featureTab)