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

plgem

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

Bioconductor version: 2.13

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>

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, Microarray, Proteomics, Software
Version	1.34.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier
License	GPL-2
Depends	R (>= 2.10), Biobase(>= 2.5.5), MASS
Imports	utils
Suggests
System Requirements
URL	http://www.genopolis.it
Depends On Me
Imports Me
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Package Archives

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

Package Source	plgem_1.34.0.tar.gz
Windows Binary	plgem_1.34.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	plgem_1.34.0.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats