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 3.0 of Bioconductor; for the stable, up-to-date release version, see limma.
Bioconductor version: 3.0
Data analysis, linear models and differential expression for microarray data.
Author: Gordon Smyth [cre,aut], Matthew Ritchie [ctb], Jeremy Silver [ctb], James Wettenhall [ctb], Natalie Thorne [ctb], Davis McCarthy [ctb], Di Wu [ctb], Yifang Hu [ctb], Wei Shi [ctb], Belinda Phipson [ctb], Alicia Oshlack [ctb], Carolyn de Graaf [ctb], Mette Langaas [ctb], Egil Ferkingstad [ctb], Marcus Davy [ctb], Francois Pepin [ctb], Dongseok Choi [ctb]
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 One Page Introduction | |
usersguide.pdf | ||
Reference Manual | ||
Text | NEWS |
Follow Installation instructions to use this package in your R session.
Package Source | limma_3.22.7.tar.gz |
Windows Binary | limma_3.22.7.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | limma_3.22.7.tgz |
Mac OS X 10.9 (Mavericks) | limma_3.22.7.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/limma/tree/release-3.0 |
Package Short Url | http://bioconductor.org/packages/limma/ |
Package Downloads Report | Download Stats |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: