leading.edge: lleading edge analysis

In galder-max/GSEAlite: GSEA lite performs simple GSEA analysis with few useful functions

Description

performs the leading edge analysis involving the running sum described in the GSEA methodology. It IS a mess...

Usage

leading.edge<-function(k, 
                       forder,
                       s2n,
                       meanES,
                       Ngenes,
                       doplot=F,
                       label="",
                       alless=NA,
                       col="black",
                       add=F,
                       pas=10,
                       ...)

Arguments

k	boolean vector of length = number of genes. TRUE if the nth gene/row of the expression matrix is found in the gene set to be tested.
forder	order of the scores between two classes
s2n	scores between two classes : see snr.SNR or snr.FC
meanES
Ngenes
doplot
label
alless
col
add
pas
...

Details

used internally for the GSEA plot

Author(s)

[e-mail]

See Also

snr.SNR; snr.FC; GSEA.plot

galder-max/GSEAlite documentation built on Jan. 30, 2021, 10:50 p.m.