To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("gaia")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 3.1
This package allows to assess the statistical significance of chromosomal aberrations.
Author: Sandro Morganella et al.
Maintainer: S. Morganella <sandro at ebi.ac.uk>
Citation (from within R,
enter citation("gaia")
):
To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("gaia")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("gaia")
R Script | gaia | |
Reference Manual |
biocViews | CopyNumberVariation, Software, aCGH |
Version | 2.12.0 |
In Bioconductor since | BioC 2.8 (R-2.13) (4.5 years) |
License | GPL-2 |
Depends | R (>= 2.10) |
Imports | |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | gaia_2.12.0.tar.gz |
Windows Binary | gaia_2.12.0.zip |
Mac OS X 10.6 (Snow Leopard) | gaia_2.12.0.tgz |
Mac OS X 10.9 (Mavericks) | gaia_2.12.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/gaia/tree/release-3.1 |
Package Short Url | http://bioconductor.org/packages/gaia/ |
Package Downloads Report | Download Stats |
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