metaArray

Integration of Microarray Data for Meta-analysis

Bioconductor version: 2.9

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 <ghoshd at psu.edu> Hyungwon Choi <hyung_won_choi at nuhs.edu.sg>

Maintainer: Hyungwon Choi <hyung_won_choi at nuhs.edu.sg>

To install this package, start R and enter:

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

To cite this package in a publication, start R and enter:

    citation("metaArray")

Documentation

PDF	R Script	metaArray Vignette
PDF		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	1.32.0
Since	Bioconductor 1.8 (R-2.3)

Package Downloads

Package Source	metaArray_1.32.0.tar.gz
Windows Binary	metaArray_1.32.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	metaArray_1.32.0.tgz
Package Downloads Report	Download Stats

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