To install this package, start R and enter:

## try http:// if https:// URLs are not supported
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 (3.5)

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")):

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("GeneMeta")

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

biocViews	GeneExpression, Microarray, Sequencing, Software
Version	1.48.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier (> 12.5 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

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

Source Package	GeneMeta_1.48.0.tar.gz
Windows Binary	GeneMeta_1.48.0.zip
Mac OS X 10.11 (El Capitan)	GeneMeta_1.48.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/GeneMeta
Package Short Url	http://bioconductor.org/packages/GeneMeta/
Package Downloads Report	Download Stats

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