Package: gaga
Version: 2.4.0
Date: 2012-04-27
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, EBarrays, mgcv
Enhances: multicore
Description: 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).
License: GPL (>= 2)
biocViews:
        OneChannel,MassSpectrometry,MultipleComparisons,DifferentialExpression,Classification
Packaged: 2012-10-02 06:45:51 UTC; biocbuild
Built: R 2.15.1; i386-pc-mingw32; 2012-10-02 12:54:35 UTC; windows
Archs: i386, x64
