To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("agilp")
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 agilp.
Bioconductor version: 3.0
provides a pipeline for the low-level analysis of gene expression microarray data, primarily Agilent data
Author: Benny Chain <b.chain at ucl.ac.uk>
Maintainer: Benny Chain <b.chain at ucl.ac.uk>
Citation (from within R,
enter citation("agilp")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("agilp")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("agilp")
R Script | An R Package for processing expression microarray data | |
Reference Manual |
biocViews | Software, StatisticalMethod |
Version | 3.8.0 |
In Bioconductor since | BioC 2.11 (R-2.15) (3.5 years) |
License | GPL-3 |
Depends | R (>= 2.14.0) |
Imports | |
LinkingTo | |
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SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
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Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | agilp_3.8.0.tar.gz |
Windows Binary | agilp_3.8.0.zip |
Mac OS X 10.6 (Snow Leopard) | agilp_3.8.0.tgz |
Mac OS X 10.9 (Mavericks) | agilp_3.8.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/agilp/tree/release-3.0 |
Package Short Url | http://bioconductor.org/packages/agilp/ |
Package Downloads Report | Download Stats |
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