MAMA (version 2.1.0)

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, "satelite", nperm = 10)