plgem
This is the released version of plgem; for the devel version, see plgem.
All Bioconductor versions of plgem
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: 3.23 · Package version: 1.84.0
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"):
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.
Details
| Version | 1.84.0 |
| License | GPL-2 |
| URL | http://www.genopolis.it |
| Last updated | 2026-04-28 |
| In Bioconductor since | BioC 2.5 or earlier (R-2.10) (16 years) |
| Downloads rank | 549 of 2,418 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | DifferentialExpression, GeneExpression, ImmunoOncology, MassSpectrometry, Microarray, Proteomics, Software |
| Package Short Url | https://bioconductor.org/packages/plgem/ |
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("plgem")| An introduction to PLGEM | R Script | |
| Reference Manual | ||
| NEWS | Text |
Download
Follow the 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 (arm64) | plgem_1.84.0.tgz |
| macOS binary (x86_64) | plgem_1.84.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/plgem |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/plgem |
| Package Downloads Report | Download Stats |
Reverse dependencies
Imports Me (1): INSPEcT