Combines either p-values or moderated effect sizes from different studies to find differentially expressed genes.
Details
Package:
metaMA
Type:
Package
Version:
3.1.2
Date:
2015-01-28
License:
GPL
LazyLoad:
yes
pvalcombination and EScombination are the most important functions to combine unpaired data.
pvalcombination combines p-values from individual studies.
EScombination combines effect sizes from individual studies.
pvalcombination.paired and EScombination.paired are to be used for paired data.
IDDIDR can help in the interpretation of gain and loss of information due to meta-analysis.
Author(s)
Guillemette Marot <guillemette.marot@inria.fr>
References
Marot, G., Foulley, J.-L., Mayer, C.-D., Jaffrezic, F. (2009) Moderated effect size and p-value combinations for microarray meta-analyses. Bioinformatics. 25 (20): 2692-2699.
Examples
library(metaMA)
data(Singhdata)
EScombination(esets=Singhdata$esets,classes=Singhdata$classes)
pvalcombination(esets=Singhdata$esets,classes=Singhdata$classes)
#more details are provided in the vignette; only open it in interactive R sessions
if(interactive()){
vignette("metaMA")
}