To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("limma")
In most cases, you don't need to download the package archive at all.
This package is for version 2.12 of Bioconductor; for the stable, up-to-date release version, see limma.
Bioconductor version: 2.12
Data analysis, linear models and differential expression for microarray data.
Author: Gordon Smyth with contributions from Matthew Ritchie, Jeremy Silver, James Wettenhall, Natalie Thorne, Mette Langaas, Egil Ferkingstad, Marcus Davy, Francois Pepin, Dongseok Choi, Davis McCarthy, Di Wu, Alicia Oshlack, Carolyn de Graaf, Yifang Hu, Wei Shi and Belinda Phipson.
Maintainer: Gordon Smyth <smyth at wehi.edu.au>
Citation (from within R,
enter citation("limma")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("limma")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("limma")
R Script | Limma Vignette | |
usersguide.pdf | ||
Reference Manual | ||
Text | NEWS |
Follow Installation instructions to use this package in your R session.
Package Source | limma_3.16.8.tar.gz |
Windows Binary | limma_3.16.8.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | limma_3.16.8.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/limma/tree/release-2.12 |
Package Short Url | http://bioconductor.org/packages/limma/ |
Package Downloads Report | Download Stats |
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