selectSigGene: select differentially expressed genes from the regressResult...

In ArrayTools: geneChip Analysis Package

Description

select differentially expressed genes based on p value and/or fold change from the regressResult class

Usage

selectSigGene(object, p.value = 0.05, fc.value = 0)

Arguments

object	an regressResult class
p.value	p value
fc.value	fold change cut-off value

Value

an regressResult

Author(s)

Xiwei Wu, Arthur Li

Examples

data(eSetExample)
design<- new("designMatrix", target=pData(eSetExample), covariates = "Treatment")
contrast<- new("contrastMatrix", design.matrix = design, 
    compare1 = "Treated", compare2 = "Control")
result<- regress(eSetExample, contrast)
sigResult<- selectSigGene(result, fc.value=log2(2)) 

ArrayTools documentation built on Nov. 8, 2020, 8:13 p.m.