DESeq2_differential: Differential analysis by DESEQ2

In ProfessionalFarmer/loonR: Common function in bioinformatics analysis

Differential analysis by DESEQ2

Description

Differential analysis by DESEQ2

Usage

DESeq2_differential(
  rawcount,
  group,
  prop.expressed.sample = 0.5,
  pre.filter = 0,
  return.normalized.df = FALSE,
  cal.AUC = TRUE
)

Arguments

rawcount	Only support raw count. Please note
group	factor, first control then experiment
prop.expressed.sample	Default 0.5. Proportion of samples have a count greater than pre.filter
pre.filter	if filter low expression gene
cal.AUC

ProfessionalFarmer/loonR documentation built on Oct. 9, 2024, 9:56 p.m.