PANR

DOI: 10.18129/B9.bioc.PANR    

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

Bioconductor version: Release (3.6)

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 hms.harvard.edu>

Maintainer: Xin Wang <xin_wang at hms.harvard.edu>

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	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	1.24.0
In Bioconductor since	BioC 2.9 (R-2.14) (6.5 years)
License	Artistic-2.0
Depends	R (>= 2.14), igraph
Imports	graphics, grDevices, MASS, methods, pvclust, stats, utils, RedeR
LinkingTo
Suggests	snow
SystemRequirements
Enhances
URL
Depends On Me
Imports Me	Mulder2012
Suggests Me
Build Report

Package Archives

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

Source Package	PANR_1.24.0.tar.gz
Windows Binary	PANR_1.24.0.zip
Mac OS X 10.11 (El Capitan)	PANR_1.24.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/PANR
Package Short Url	http://bioconductor.org/packages/PANR/
Package Downloads Report	Download Stats