To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("PANR")

In most cases, you don't need to download the package archive at all.

PANR

   

This package is for version 2.9 of Bioconductor; for the stable, up-to-date release version, see PANR.

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

Bioconductor version: 2.9

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:

## try http:// if https:// URLs are not supported
source("https://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 fullPAN.pdf
PDF PAN-Vignette.pdf
PDF pvmodule.pdf
PDF sigmod.pdf
PDF   Reference Manual

Details

biocViews CellBasedAssays, Clustering, GraphsAndNetworks, Software, Visualization
Version 1.0.2
In Bioconductor since BioC 2.9 (R-2.14) (4.5 years)
License Artistic-2.0
Depends R (>= 2.14)
Imports graphics, grDevices, igraph, MASS, methods, pvclust, stats, utils
LinkingTo
Suggests snow, RedeR
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me RedeR
Build Report  

Package Archives

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

Package Source PANR_1.0.2.tar.gz
Windows Binary PANR_1.0.2.zip
Mac OS X 10.6 (Snow Leopard)
Mac OS X 10.9 (Mavericks)
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/PANR/tree/release-2.9
Package Short Url http://bioconductor.org/packages/PANR/
Package Downloads Report Download Stats

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