DGE.CI.Plot: plot and get summary

In afitz-gmu/DGE-Analysis: Bioinformatics plots for various Visualization

Description

plot and get summary

plot and get summary

Usage

DGE.CI.Plot(DE, FoldChange = 0, cutoff = 0.05, type.sig = "p")

DGE.CI.Plot(DE, FoldChange = 0, cutoff = 0.05, type.sig = "p")

Arguments

DE	list of Differentially Expressed Genes from Various methods.
FoldChange	is cuoff to mark genes as Differentially expressed
cutoff	is either pvalue of FDR cutoff for filtering
type.sig	vector c('p', 'FDR') default 'p'

Value

data frame of Deferentially expressed genes counts in various methods

data frame of Deferentially expressed genes counts in various methods

Examples

data("DEG")
DE.list<-list("edger" =dge_edger, "edgerql" = dge_edgerql,
"voom" = dge_voom )
DGE.CI(DE=DE.list , FoldChange=1.2 , cutoff =0.01 , type.sig ="FDR")



data("DEG")
DE.list<-list("edger" =dge_edger, "edgerql" = dge_edgerql,
"voom" = dge_voom )
DGE.CI.Plot(DE=DE.list , FoldChange=1.2 , cutoff =0.01 , type.sig ="FDR")

afitz-gmu/DGE-Analysis documentation built on April 3, 2021, 2:39 a.m.