Bioconductor version: Release (3.11)
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")
):
To install this package, start R (version "4.0") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("plgem")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("plgem")
R Script | An introduction to PLGEM | |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, GeneExpression, ImmunoOncology, MassSpectrometry, Microarray, Proteomics, Software |
Version | 1.60.0 |
In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 15.5 years) |
License | GPL-2 |
Depends | R (>= 2.10) |
Imports | utils, Biobase(>= 2.5.5), MASS, methods |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | http://www.genopolis.it |
Depends On Me | |
Imports Me | INSPEcT |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | plgem_1.60.0.tar.gz |
Windows Binary | plgem_1.60.0.zip |
macOS 10.13 (High Sierra) | plgem_1.60.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/plgem |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/plgem |
Package Short Url | https://bioconductor.org/packages/plgem/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.11 | Source Archive |
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