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 (3.1)

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 1.46.0
In Bioconductor since BioC 1.8 (R-2.3) (9.5 years)
License LGPL-2
Depends
Imports Biobase, MergeMaid, graphics, stats
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me oneChannelGUI
Build Report  

Package Archives

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

Package Source metaArray_1.46.0.tar.gz
Windows Binary metaArray_1.46.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) metaArray_1.46.0.tgz
Mac OS X 10.9 (Mavericks) metaArray_1.46.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/metaArray/tree/release-3.1
Package Short Url http://bioconductor.org/packages/metaArray/
Package Downloads Report Download Stats

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