To install this package, start R and enter:

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

In most cases, you don't need to download the package archive at all.

metaArray

Integration of Microarray Data for Meta-analysis

Bioconductor version: Release (2.14)

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>

Citation (from within R, enter citation("metaArray")):

Installation

To install this package, start R and enter:

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("metaArray")

 

PDF R Script metaArray Vignette
PDF   Reference Manual

Details

biocViews DifferentialExpression, Microarray, Software
Version 1.42.0
In Bioconductor since BioC 1.8 (R-2.3)
License LGPL-2
Depends
Imports Biobase, MergeMaid, graphics, stats
Suggests
System Requirements
URL
Depends On Me
Imports Me
Suggests Me oneChannelGUI

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source metaArray_1.42.0.tar.gz
Windows Binary metaArray_1.42.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) metaArray_1.42.0.tgz
Mac OS X 10.9 (Mavericks) metaArray_1.42.0.tgz
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