dge2voom_q: calculate normalization factors with edgeR and voom with...

In taylo5jm/interactions: Classification of gene expression profile sets generated from combination stimuli

Description

calculate normalization factors with edgeR and voom with limma to model as approximately normal

Usage

dge2voom_q(counts, genes, null = FALSE)

Arguments

counts	numeric matrix of counts where rows are genes and columns are libraries
genes	data.frame of gene metadata
null	Boolean TRUE if columns of counts matrix should be permuted to simulate null distribution

Value

d DGEList with normalization factors calculated and voom(d) is returned locally

Examples

## Not run: 
# v <- dge2voom_q(counts, genes)
# d <- estimateCommonDisp

## End(Not run)

taylo5jm/interactions documentation built on May 31, 2019, 3:57 a.m.