plgem

DOI: 10.18129/B9.bioc.plgem    

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

Bioconductor version: Release (3.6)

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:

## try http:// if https:// URLs are not supported
source("https://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	1.50.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier (> 13 years)
License	GPL-2
Depends	R (>= 2.10)
Imports	utils, Biobase(>= 2.5.5), MASS
LinkingTo
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SystemRequirements
Enhances
URL	http://www.genopolis.it
Depends On Me
Imports Me
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Build Report

Package Archives

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

Source Package	plgem_1.50.0.tar.gz
Windows Binary	plgem_1.50.0.zip
Mac OS X 10.11 (El Capitan)	plgem_1.50.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/plgem
Package Short Url	http://bioconductor.org/packages/plgem/
Package Downloads Report	Download Stats