DGE.CI: plot and get summary
In afitz-gmu/DGE-Analysis: Bioinformatics plots for various Visualization

Description Usage Arguments Value Examples

View source: R/DGE.CI.R

plot and get summary

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

`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'`

data frame of Deferentially expressed genes counts in various methods

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")