Package: plgem
Title: Detect differential expression in microarray and proteomics
        datasets with the Power Law Global Error Model (PLGEM)
Version: 1.18.2
Author: Mattia Pelizzola <mattia.pelizzola@gmail.com> and Norman
        Pavelka <normanpavelka@gmail.com>
Description: The Power Law Global Error Model (PLGEM) has been shown to
        faithfully model the variance-versus-mean dependence that
        exists in a variety of genome-wide datasets, including
        microarray and proteomics data. The use of PLGEM has been shown
        to improve the detection of differentially expressed genes or
        proteins in these datasets.
Maintainer: Norman Pavelka <normanpavelka@gmail.com>
Imports: utils
Depends: R (>= 2.6.0), Biobase (>= 2.5.5), MASS
License: GPL
URL: http://www.genopolis.it
biocViews: Microarray, DifferentialExpression, Proteomics
Packaged: 2009-11-12 10:10:02 UTC; biocbuild
Built: R 2.10.0; ; 2009-11-12 15:48:08 UTC; windows
