To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/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    

This is the development version of EGAD; for the stable release version, see EGAD.

Extending guilt by association by degree

Bioconductor version: Development (3.7)

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("http://bioc.ism.ac.jp/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 1.7.0
In Bioconductor since BioC 3.3 (R-3.3) (1.5 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_1.7.0.tar.gz
Windows Binary
Mac OS X 10.11 (El Capitan)
Source Repository git clone https://git.bioconductor.org/packages/EGAD
Package Short Url http://bioconductor.org/packages/EGAD/
Package Downloads Report Download Stats

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