To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("GeneMeta")

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

GeneMeta

 

MetaAnalysis for High Throughput Experiments

Bioconductor version: Release (3.1)

A collection of meta-analysis tools for analysing high throughput experimental data

Author: Lara Lusa <lusa at ifom-firc.it>, R. Gentleman, M. Ruschhaupt

Maintainer: Bioconductor Package Maintainer <maintainer at bioconductor.org>

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

Installation

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("GeneMeta")

Documentation

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

browseVignettes("GeneMeta")

 

PDF R Script GeneMeta Vignette
PDF   Reference Manual

Details

biocViews GeneExpression, Microarray, Sequencing, Software
Version 1.40.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 10.5 years)
License Artistic-2.0
Depends R (>= 2.10), methods, Biobase(>= 2.5.5), genefilter
Imports methods, Biobase(>= 2.5.5)
LinkingTo
Suggests RColorBrewer
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me genefu, XDE
Build Report  

Package Archives

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

Package Source GeneMeta_1.40.0.tar.gz
Windows Binary GeneMeta_1.40.0.zip
Mac OS X 10.6 (Snow Leopard) GeneMeta_1.40.0.tgz
Mac OS X 10.9 (Mavericks) GeneMeta_1.40.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/GeneMeta/tree/release-3.1
Package Short Url http://bioconductor.org/packages/GeneMeta/
Package Downloads Report Download Stats

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