To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("PANR")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
This package provides S4 classes and methods for inferring functional gene networks with edges encoding posterior beliefs of gene association types and nodes encoding perturbation effects.
Author: Xin Wang <Xin.Wang at cancer.org.uk>
Maintainer: Xin Wang <Xin.Wang at cancer.org.uk>
Citation (from within R,
enter citation("PANR")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("PANR")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("PANR")
fullPAN.pdf | ||
R Script | Main vignette:Posterior association network and enriched functional gene modules inferred from rich phenotypes of gene perturbations | |
pvmodule.pdf | ||
sigmod.pdf | ||
Reference Manual | ||
Text | NEWS |
biocViews | CellBasedAssays, Clustering, GraphsAndNetworks, NetworkInference, NetworkVisualization, Software |
Version | 1.8.0 |
In Bioconductor since | BioC 2.9 (R-2.14) |
License | Artistic-2.0 |
Depends | R (>= 2.14), igraph |
Imports | graphics, grDevices, MASS, methods, pvclust, stats, utils |
Suggests | snow, RedeR |
System Requirements | |
URL | |
Depends On Me | |
Imports Me | Mulder2012 |
Suggests Me | RedeR |
Follow Installation instructions to use this package in your R session.
Package Source | PANR_1.8.0.tar.gz |
Windows Binary | PANR_1.8.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | PANR_1.8.0.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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