Find marker genes for each cluster
This function takes an object of class iCellR and performs differential expression (DE) analysis to find marker genes for each cluster.
findMarkers( x = NULL, data.type = "main", pval.test = "t.test", p.adjust.method = "hochberg", fold.change = 2, padjval = 0.1, low.cell.filt = 5, Inf.FCs = FALSE, uniq = FALSE, positive = TRUE )
x
: An object of class iCellR.data.type
: Choose from "main", "atac", "atac.imputed" and "imputed", default = "main"pval.test
: Choose from "t.test", "wilcox.test", default = "t.test".p.adjust.method
: Correction method. Choose from "holm", "hochberg", "hommel", "bonferroni", "BH", "BY","fdr", "none", default = "hochberg".fold.change
: A number that designates the minimum fold change for out put, default = 2.padjval
: Minimum adjusted p value for out put, default = 0.1.low.cell.filt
: filter out clusters with low number of cells, default = 5.Inf.FCs
: If set to FALSE the infinite fold changes would be filtered from out put, default = FALSE.uniq
: If set to TRUE only genes that are a marker for only one cluster would be in the out put, default = FALSE.positive
: If set to FALSE both the up regulated (positive) and down regulated (negative) markers would be in the out put, default = TRUE.An object of class iCellR