gaga

GaGa hierarchical model for microarray data analysis

This package fits Rossell's generalizations of the Gamma-Gamma hierarchical model for microarray data analysis, which substantially improve the quality of the fit at a low computational cost. The model can be fit with empirical Bayes and fully Bayesian techniques. Routines are provided to perform differential expression analysis and class prediction.

Author	David Rossell .
Maintainer	David Rossell

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("gaga")

Vignettes (Documentation)

Package Downloads

gagamanual.pdf

Source	gaga_1.0.0.tar.gz
Windows binary	gaga_1.0.0.zip
OS X binary	gaga_1.0.0.tgz

Details

biocViews	Statistics , DifferentialExpression , Classification
Depends	R, Biobase, coda
Suggests
Imports
SystemRequirements
License	GPL (version 2 or later)
URL
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