To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("plgem")
In most cases, you don't need to download the package archive at all.
plgem
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Detect differential expression in microarray and proteomics datasets with the Power Law Global Error Model (PLGEM)
Bioconductor version: Release (3.4)
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")):
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")
| R Script | An introduction to PLGEM | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | DifferentialExpression, GeneExpression, MassSpectrometry, Microarray, Proteomics, Software |
| Version | 1.46.0 |
| In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 12 years) |
| License | GPL-2 |
| Depends | R (>= 2.10) |
| Imports | utils, Biobase(>= 2.5.5), MASS |
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | |
| URL | http://www.genopolis.it |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | plgem_1.46.0.tar.gz |
| Windows Binary | plgem_1.46.0.zip |
| Mac OS X 10.9 (Mavericks) | plgem_1.46.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/plgem/tree/release-3.4 |
| Package Short Url | http://bioconductor.org/packages/plgem/ |
| Package Downloads Report | Download Stats |
Documentation »
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