To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("plgem")

In most cases, you don't need to download the package archive at all.

plgem

Detect differential expression in microarray and proteomics datasets with the Power Law Global Error Model (PLGEM)

Bioconductor version: Release (3.0)

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>

Citation (from within R, enter citation("plgem")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("plgem")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("plgem")

 

PDF R Script An introduction to PLGEM
PDF   Reference Manual
Text   NEWS

Details

biocViews DifferentialExpression, GeneExpression, MassSpectrometry, Microarray, Proteomics, Software
Version 1.38.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier
License GPL-2
Depends R (>= 2.10)
Imports utils, Biobase(>= 2.5.5), MASS
Suggests
System Requirements
URL http://www.genopolis.it
Depends On Me
Imports Me
Suggests Me

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source plgem_1.38.0.tar.gz
Windows Binary plgem_1.38.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) plgem_1.38.0.tgz
Mac OS X 10.9 (Mavericks) plgem_1.38.0.tgz
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