EGAD

DOI: 10.18129/B9.bioc.EGAD    

Extending guilt by association by degree

Bioconductor version: Release (3.11)

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 (version "4.0") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("EGAD")

For older versions of R, please refer to the appropriate Bioconductor release.

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	1.16.0
In Bioconductor since	BioC 3.3 (R-3.3) (4.5 years)
License	GPL-2
Depends	R (>= 3.3)
Imports	gplots, Biobase, GEOquery, limma, arrayQualityMetrics, impute, RColorBrewer, zoo, igraph, plyr, Matrix, MASS, RCurl, affy, methods
LinkingTo
Suggests	knitr, testthat
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	EGAD_1.16.0.tar.gz
Windows Binary	EGAD_1.16.0.zip
macOS 10.13 (High Sierra)	EGAD_1.16.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/EGAD
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/EGAD
Package Short Url	https://bioconductor.org/packages/EGAD/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.11	Source Archive