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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.
Mulder2012
|
Predicting functional networks and modules of chromatin factors controlling adult stem cell fate from RNA interference screens
Bioconductor version: 3.2
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")):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("Mulder2012")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Mulder2012")
| Main vignette:Posterior association network and enriched functional gene modules inferred from rich phenotypes of gene perturbations | ||
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | CancerData, ExperimentData, StemCell |
| Version | 0.10.0 |
| 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 |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | Mulder2012_0.10.0.tar.gz |
| Windows Binary | |
| Mac OS X 10.6 (Snow Leopard) | |
| 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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