To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("agilp")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
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:
source("http://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 |
Version | 3.4.0 |
In Bioconductor since | BioC 2.11 (R-2.15) |
License | GPL-3 |
Depends | R (>= 2.14.0) |
Imports | |
Suggests | |
System Requirements | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me |
Follow Installation instructions to use this package in your R session.
Package Source | agilp_3.4.0.tar.gz |
Windows Binary | agilp_3.4.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | agilp_3.4.0.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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