To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("Mulder2012")
In most cases, you don't need to download the package archive at all.
This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see Mulder2012.
Bioconductor version: 3.4
This package provides functions to reproduce results and figures in Mulder K. et. al. published in Nature Cell Biology 2012 and Wang X. et. al. published in PLoS Computational Biology 2012.
Author: Xin Wang <Xin.Wang at cancer.org.uk>, Florian Markowetz <Florian.Markowetz at cancer.org.uk>
Maintainer: Xin Wang <Xin.Wang at cancer.org.uk>
Citation (from within R,
enter citation("Mulder2012")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("Mulder2012")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Mulder2012")
R Script | Main vignette:Posterior association network and enriched functional gene modules inferred from rich phenotypes of gene perturbations | |
Reference Manual | ||
Text | NEWS |
biocViews | CancerData, ExperimentData, StemCell |
Version | 0.14.0 |
License | Artistic-2.0 |
Depends | R (>= 2.14), org.Hs.eg.db, KEGG.db |
Imports | igraph, HTSanalyzeR, PANR, RedeR, pvclust, MASS |
LinkingTo | |
Suggests | snow |
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 | Mulder2012_0.14.0.tar.gz |
Windows Binary | |
Mac OS X 10.9 (Mavericks) | |
Subversion source | (username/password: readonly) |
Package Short Url | http://bioconductor.org/packages/Mulder2012/ |
Package Downloads Report | Download Stats |
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