gaga : GaGa hierarchical model for high-throughput data analysis

Package: gaga
Version: 2.18.0
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: 2016-05-04 03:05:17 UTC; biocbuild