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

DOI: 10.18129/B9.bioc.EGAD

Extending guilt by association by degree

Bioconductor version: Release (3.5)

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")):

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

Version 1.4.1
In Bioconductor since BioC 3.3 (R-3.3) (1.5 years)
License GPL-2
Depends R (>= 3.3)
LinkingTo
Suggests knitr, rmarkdown, testthat
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Source Package EGAD_1.4.1.tar.gz
Windows Binary EGAD_1.4.1.zip
Mac OS X 10.11 (El Capitan) EGAD_1.4.1.tgz
Source Repository git clone https://git.bioconductor.org/packages/EGAD
Package Downloads Report Download Stats

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