Bioconductor version: 2.6
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 and Norman Pavelka
Maintainer: Norman Pavelka
To install this package, start R and enter:
source("http:///biocLite.R") biocLite("plgem")
R Script | An introduction to PLGEM |
biocViews | Microarray, DifferentialExpression, Proteomics |
Depends | R, Biobase, MASS |
Imports | utils |
Suggests | |
System Requirements | |
License | GPL |
URL | http://www.genopolis.it |
Depends On Me | |
Imports Me | |
Suggests Me | |
Version | 1.20.1 |
Package Source | plgem_1.20.1.tar.gz |
Windows Binary | plgem_1.20.1.zip (32- & 64-bit) |
MacOS 10.5 (Leopard) binary | plgem_1.20.1.tgz |
Package Downloads Report | Download Stats |
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