To install this package, start R and enter:

## try http if https is not available
source("https://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:

## try http if https is not available
source("https://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

Documentation »

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