EGAD

DOI: 10.18129/B9.bioc.EGAD    

Extending guilt by association by degree

Bioconductor version: Release (3.6)

The package implements a series of highly efficient tools to calculate functional properties of networks based on guilt by association methods.

Author: Sara Ballouz [aut, cre], Melanie Weber [aut, ctb], Paul Pavlidis [aut], Jesse Gillis [aut, ctb]

Maintainer: Sara Ballouz <sballouz at cshl.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("EGAD")

Documentation

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

browseVignettes("EGAD")

 

PDF	R Script	"EGAD user guide"
PDF		Reference Manual
Text		NEWS

Details

biocViews	FunctionalGenomics, FunctionalPrediction, GenePrediction, GraphAndNetwork, Network, NetworkEnrichment, Software, SystemsBiology
Version	1.6.0
In Bioconductor since	BioC 3.3 (R-3.3) (2 years)
License	GPL-2
Depends	R (>= 3.3)
Imports	gplots, Biobase, GEOquery, limma, arrayQualityMetrics, impute, RColorBrewer, zoo, igraph, plyr, Matrix, MASS, RCurl, affy
LinkingTo
Suggests	knitr, rmarkdown, testthat
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.

Source Package	EGAD_1.6.0.tar.gz
Windows Binary	EGAD_1.6.0.zip
Mac OS X 10.11 (El Capitan)	EGAD_1.6.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/EGAD
Package Short Url	http://bioconductor.org/packages/EGAD/
Package Downloads Report	Download Stats