| GSVQ {GSAQ} | R Documentation |
Gene Set Validation with QTL using Hyper-geometric test without gene sampling model
Description
The function computes ths statisical significance value (p-value) for gene set validation using hypergeometric test.
Usage
GSVQ(geneset, genelist, qtl)Arguments
geneset |
geneset is a vector of characters representing the names of genes/ gene ids selected from the whole gene list by using a gene selection method. |
genelist |
genelist is a N by 3 dataframe/ matrix (genes/gene ids as row names): where, N represents the number of genes in the whole gene set: first coloumn represnting the chromosomal location of genes: second coloumn representing the start position of genes in terms of basepairs: third coloumn representing the end position of genes in terms of basepairs. |
qtl |
qtl is a Q by 3 dataframe/matrix (qtl names/qtl ids as row names);where, Q represents the number of qtls: first coloumn represnting the chromosomal location of qtls: second coloumn representing the start position of qtls in terms of basepairs: third coloumn representing the end position of qtls in terms of basepairs. |
Value
The function returns the statisical significance value (p-value) from Hyper-geometric test for validation of the selected gene set with qtl data.
Author(s)
Samarendra Das
Examples
data(rice_salt)
data(genelist)
data(qtl_salt)
x=as.data.frame(rice_salt[-1,])
y=as.numeric(rice_salt[1,])
geneset= GeneSelect(x, y, s=50, method="t-score")$selectgenes
genelist=as.data.frame(genelist)
qtl=as.data.frame(qtl_salt)
GSVQ(geneset, genelist, qtl)