metaArray

Integration of Microarray Data for Meta-analysis

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://bioconductor.org/biocLite.R")
    biocLite("metaArray")

Documentation

metaArray Vignette	PDF	R Script
Reference Manual

Details

biocViews	Microarray , Bioinformatics , DifferentialExpression
Depends
Imports	Biobase , MergeMaid , graphics , stats
Suggests
System Requirements
License	LGPL2
URL
Depends On Me
Imports Me
Suggests Me	oneChannelGUI
Development History	Bioconductor Changelog

Package Downloads

Package source	metaArray_1.20.1.tar.gz
Windows binary	metaArray_1.20.1.zip
MacOS X 10.4 (Tiger) binary	metaArray_1.20.1.tgz
MacOS X 10.5 (Leopard) binary	metaArray_1.20.1.tgz
Package Downloads Report	Downloads Stats