To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("gaga")
In most cases, you don't need to download the package archive at all.
gaga
|
This package is for version 2.9 of Bioconductor; for the stable, up-to-date release version, see gaga.
GaGa hierarchical model for high-throughput data analysis
Bioconductor version: 2.9
This package fits Rossell's generalizations of the Gamma-Gamma hierarchical model for high-throughput data analysis, which substantially improve the quality of the fit at a low computational cost. The model can be used for differential expression analysis, supervised gene clustering, classification and sequential sample size calculation for high-throughput experiments.
Author: David Rossell <rosselldavid at gmail.com>.
Maintainer: David Rossell <rosselldavid at gmail.com>
Citation (from within R,
enter citation("gaga")):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("gaga")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("gaga")
| gagamanual.pdf | ||
| Reference Manual |
Details
| biocViews | Classification, DifferentialExpression, MassSpectrometry, MultipleComparisons, OneChannel, Software |
| Version | 2.0.0 |
| In Bioconductor since | BioC 2.2 (R-2.7) (8 years) |
| License | GPL (>= 2) |
| Depends | R (>= 2.8.0), Biobase, coda |
| Imports | |
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | gaga_2.0.0.tar.gz |
| Windows Binary | gaga_2.0.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | |
| Mac OS X 10.9 (Mavericks) | |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/gaga/tree/release-2.9 |
| Package Short Url | http://bioconductor.org/packages/gaga/ |
| Package Downloads Report | Download Stats |
Documentation »
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