calculateDEandDV: Conduct DE and DV analyses

In sharonpkingsley/DEandDV: Conducts DE and DV analyses on scRNA-seq data

Description

Calculate differentially expressed and differentially variable genes while statistically correcting for dropouts.

Usage

calculateDEandDV(x, labels)

Arguments

x	Gene expression matrix of counts
labels	Vector of 0s and 1s for which group each sample belongs to

Value

Large Numeric of genes and corresponding Log Fold Change, t-test results and f-test results

Examples

exprs <-as.matrix(read.table("matrix.txt", header=TRUE, sep="\t", row.names=1,as.is=TRUE))
DEDV<-calculateDEanDV(exprs, labels)

sharonpkingsley/DEandDV documentation built on May 31, 2019, 11:45 p.m.