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.

PANR

Posterior association networks and functional modules inferred from rich phenotypes of gene perturbations

Bioconductor version: Release (2.14)

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")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("PANR")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("PANR")

 

PDF R Script Main vignette:Posterior association network and enriched functional gene modules inferred from rich phenotypes of gene perturbations
PDF   Reference Manual
Text   NEWS

Details

biocViews CellBasedAssays, Clustering, GraphAndNetwork, NetworkInference, Software, Visualization
Version 1.10.0
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

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source PANR_1.10.0.tar.gz
Windows Binary PANR_1.10.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) PANR_1.10.0.tgz
Mac OS X 10.9 (Mavericks) PANR_1.10.0.tgz
Browse/checkout source (username/password: readonly)
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