plgem
This is the released version of plgem; for the devel version, see plgem.
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("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 | R Script | |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | DifferentialExpression, GeneExpression, ImmunoOncology, MassSpectrometry, Microarray, Proteomics, Software |
| Version | 1.84.0 |
| In Bioconductor since | BioC 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 | |
| URL | http://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 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 |