Package: gaga
Version: 2.0.0
Date: 2011-05-30
Title: GaGa hierarchical model for high-throughput data analysis
Author: David Rossell <rosselldavid@gmail.com>.
Maintainer: David Rossell <rosselldavid@gmail.com>
Depends: R (>= 2.8.0), Biobase, coda
Description: 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. 
License: GPL (>= 2)
biocViews:
        OneChannel,MassSpectrometry,MultipleComparisons,DifferentialExpression,Classification
Packaged: 2011-11-01 07:58:30 UTC; biocbuild
Built: R 2.14.0; i386-pc-mingw32; 2011-11-01 12:23:52 UTC; windows
Archs: i386, x64
