diff_exp: Differential expression analysis

In iaradsouza1/MicroarrayMethods: Provide methods for microarray analysis

Description

Differential expression analysis based on limma methods.

Usage

diff_exp(eset, contrasts, method, adjust.method, p.value = 0.05,
  degenes_only = FALSE, ...)

Arguments

eset	ExpressionSet object. Usually the result of the normalization process
contrasts	A vector containing contrasts in which differential expression will be done
method	Character string specifying how genes and contrasts are to be combined in the multiple testing scheme. See ?decideTests
adjust.method	Character string specifying p-value adjustment method. See ?decideTests
p.value	numeric value between 0 and 1 giving the required family-wise error rate or false discovery rate. See ?decideTests
degenes_only	Logical value to specify whether return a dataframe with only differentially expressed genes
...	Other parameters to be passed to decideTests. See ?decideTests

Value

A dataframe

iaradsouza1/MicroarrayMethods documentation built on Nov. 3, 2021, 2 p.m.