Bioconductor Developer Survey 2026 Now Open!

plgem

This is the released version of plgem; for the devel version, see plgem.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13, 2.12, 2.11, 2.10, 2.9, 2.8, 2.7, 2.6, 2.5

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


Bioconductor version: Release (3.23)

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")):

Mattia Pelizzola and Norman Pavelka. plgem: Detect differential expression in microarray and proteomics datasets with the Power Law Global Error Model (PLGEM). doi:10.18129/B9.bioc.plgem, R package version 1.84.0, https://bioconductor.org/packages/plgem.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("plgem")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

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

browseVignettes("plgem")
An introduction to PLGEM PDF R Script
Reference ManualPDF
NEWSText

Details

biocViews DifferentialExpression, GeneExpression, ImmunoOncology, MassSpectrometry, Microarray, Proteomics, Software
Version1.84.0
In Bioconductor sinceBioC 1.6 (R-2.1) or earlier (> 21.5 years)
License GPL-2
Depends R (>= 2.10)
Imports utils, Biobase (>= 2.5.5), MASS, methods
System Requirements
URLhttp://www.genopolis.it
See More
Suggests
Linking To
Enhances
Depends On Me
Imports Me INSPEcT
Suggests Me
Links To Me
Build Report Build Report, r-universe

Package Archives

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

Source Package plgem_1.84.0.tar.gz
Windows Binary (x86_64) plgem_1.84.0.zip
macOS Binary (big-sur-x86_64) plgem_1.84.0.tgz
macOS Binary (sonoma-arm64) plgem_1.84.0.tgz
Source Repositorygit 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 ReportDownload Stats