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
|
GaGa hierarchical model for high-throughput data analysis
Bioconductor version: 3.2
Implements the GaGa model for high-throughput data analysis, including differential expression analysis, supervised gene clustering and classification. Additionally, it performs sequential sample size calculations using the GaGa and LNNGV models (the latter from EBarrays package).
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")
| Manual for the gaga library | ||
| Reference Manual |
Details
| biocViews | Classification, DifferentialExpression, MassSpectrometry, MultipleComparison, OneChannel, Software |
| Version | 2.16.0 |
| In Bioconductor since | BioC 2.2 (R-2.7) (8 years) |
| License | GPL (>= 2) |
| Depends | R (>= 2.8.0), Biobase, coda, EBarrays, mgcv |
| Imports | |
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | parallel |
| URL | |
| Depends On Me | |
| Imports Me | casper |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | gaga_2.16.0.tar.gz |
| Windows Binary | gaga_2.16.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | gaga_2.16.0.tgz |
| Mac OS X 10.9 (Mavericks) | gaga_2.16.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/gaga/tree/release-3.2 |
| Package Short Url | http://bioconductor.org/packages/gaga/ |
| Package Downloads Report | Download Stats |
Documentation »
Bioconductor
- Package vignettes and manuals.
- Workflows for learning and use.
- Course and conference material.
- Videos.
- Community resources and tutorials.
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations:
- Support site - for questions about Bioconductor packages
- Bioc-devel mailing list - for package developers
