MAMA (version 2.2.1)

ES.GeneMeta: Wrapper function for combining the effect size as implemented in GeneMeta package

Description

This is a wrapper function for meta-analytical method implemented in GeneMeta package

Usage

ES.GeneMeta(data, varname, useREM = TRUE, CombineExp = 1:length(esets), nperm = 1000)

Arguments

data

MetaArray object

varname

Character String - name of one column in clinical data matrices to be used as class labels

useREM

Logical - indicating whethet Random Effect Model (REM) shuld be used, if FALSE then Fixed Effect Model is applied

CombineExp

A numeric vector - which experiments should be combined, all experiments are set as default

nperm

Number of permutations to calculate FDR

Value

An object of class ES.GeneMeta.res

theScores

Ouput from function zScores

ScoresFDR

Output from function zScoreFDR

References

Choi et al, Combining multiple microarray studies and modeling interstudy variation. Bioinformatics, 2003, i84-i90.

See Also

zScores, zScoreFDR

Examples

data(ColonData)
es<- ES.GeneMeta(ColonData, "MSI", nperm = 10)