Bioconductor version: 2.7
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.
Author: Mattia Pelizzola <mattia.pelizzola at gmail.com> and Norman Pavelka <normanpavelka at gmail.com>
Maintainer: Norman Pavelka <normanpavelka at gmail.com>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("plgem")
To cite this package in a publication, start R and enter:
citation("plgem")
Common Bioconductor workflows include:
Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!