Package: plgem
Title: Detect differential expression in microarray and proteomics
        datasets with the Power Law Global Error Model (PLGEM)
Version: 1.20.1
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: 2010-08-05 21:20:19 UTC; biocbuild
Built: R 2.11.1; ; 2010-08-06 05:06:28 UTC; windows
