metaArray

Integration of Microarray Data for Meta-analysis

Bioconductor version: Development (2.8)

1) Data transformation for meta-analysis of microarray Data: Transformation of gene expression data to signed probability scale (MCMC/EM methods) 2) Combined differential expression on raw scale: Weighted Z-score after stabilizing mean-variance relation within platform

Author: Debashis Ghosh Hyungwon Choi

Maintainer: Hyungwon Choi

To install this package, start R and enter:

source("http:///biocLite.R")
biocLite("metaArray")    

Documentation

PDF R Script metaArray Vignette

Reference Manual

Details

biocViews Microarray, Bioinformatics, DifferentialExpression
Depends
Imports Biobase, MergeMaid, graphics, stats
Suggests
System Requirements
License LGPL-2
URL
Depends On Me
Imports Me
Suggests Me oneChannelGUI
Version 1.27.0

Package Downloads

Package Source metaArray_1.27.0.tar.gz
Windows Binary metaArray_1.27.0.zip (32-bit only)
MacOS 10.5 (Leopard) binary metaArray_1.27.0.tgz
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