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.
Bioconductor version: Release (3.4)
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")
R Script | GeneMeta Vignette | |
Reference Manual |
biocViews | GeneExpression, Microarray, Sequencing, Software |
Version | 1.46.0 |
In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 12 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.
Package Source | GeneMeta_1.46.0.tar.gz |
Windows Binary | GeneMeta_1.46.0.zip |
Mac OS X 10.9 (Mavericks) | GeneMeta_1.46.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/GeneMeta/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/GeneMeta/ |
Package Downloads Report | Download Stats |
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