voomWrapperSumReps: voomWrapperSumReps

In plger/iPSCpoweR: iPSCpoweR: transcriptomics-based evaluation of experimental designs for iPSC disease modeling

Description

Performs one differential expression analysis using voom

Usage

voomWrapperSumReps(
  e,
  mm = NULL,
  nested = NULL,
  DEsamples = NULL,
  paired = NULL
)

Arguments

e	the expression matrix
mm	the design model (as created by the ‘model.matrix()’ function), for paired analyses only. Default NULL.
nested	NULL or character vector of size=ncol(e), indicating the blocking variable (default NULL).
DEsamples	the index of the samples in which the differential expression was added. Mandatory if mm=NULL, ignored otherwise.
paired	Ignored; for consistency with edgeRwrapper.

Value

A data.frame.

plger/iPSCpoweR documentation built on Feb. 2, 2022, 1:37 a.m.