Package: gaga
Version: 2.24.0
Date: 2015-06-14
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: parallel
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, MultipleComparison,
        DifferentialExpression, Classification
NeedsCompilation: yes
Packaged: 2017-10-30 23:53:40 UTC; biocbuild
Built: R 3.4.2; i386-w64-mingw32; 2017-10-31 04:51:08 UTC; windows
Archs: i386, x64
