To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("MGFM")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.1)
The package is designed to detect marker genes from Microarray gene expression data sets
Author: Khadija El Amrani
Maintainer: Khadija El Amrani <khadija.el-amrani at charite.de>
Citation (from within R,
enter citation("MGFM")
):
To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("MGFM")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("MGFM")
R Script | Using MGFM | |
Reference Manual | ||
Text | NEWS |
biocViews | GeneExpression, Genetics, Microarray, Software |
Version | 1.2.0 |
In Bioconductor since | BioC 3.0 (R-3.1) (1 year) |
License | GPL-3 |
Depends | AnnotationDbi, annotate |
Imports | |
LinkingTo | |
Suggests | hgu133a.db |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | MGFM_1.2.0.tar.gz |
Windows Binary | MGFM_1.2.0.zip |
Mac OS X 10.6 (Snow Leopard) | MGFM_1.2.0.tgz |
Mac OS X 10.9 (Mavericks) | MGFM_1.2.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/MGFM/tree/release-3.1 |
Package Short Url | http://bioconductor.org/packages/MGFM/ |
Package Downloads Report | Download Stats |
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