To install this package, start R and enter:

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

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

EGAD

Extending guilt by association by degree

Bioconductor version: Release (3.4)

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>

Citation (from within R, enter citation("EGAD")):

To install this package, start R and enter:

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

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

browseVignettes("EGAD")

biocViews	FunctionalGenomics, FunctionalPrediction, GenePrediction, GraphAndNetwork, Network, NetworkEnrichment, Software, SystemsBiology
Version	1.2.0
In Bioconductor since	BioC 3.3 (R-3.3) (1 year)
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

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

Package Source	EGAD_1.2.0.tar.gz
Windows Binary	EGAD_1.2.0.zip
Mac OS X 10.9 (Mavericks)	EGAD_1.2.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/EGAD/tree/release-3.4
Package Short Url	http://bioconductor.org/packages/EGAD/
Package Downloads Report	Download Stats

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