metaArray

Integration of Microarray Data for Meta-analysis

Bioconductor version: 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 <ghoshd at umich.edu> Hyungwon Choi <hwchoi at umich.edu>

Maintainer: Hyungwon Choi <hwchoi at umich.edu>

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 1.28.0
Since Bioconductor 1.8 (R-2.3)

Package Downloads

Package Source metaArray_1.28.0.tar.gz
Windows Binary metaArray_1.28.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary metaArray_1.28.0.tgz
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