EGAD

DOI: 10.18129/B9.bioc.EGAD  

Extending guilt by association by degree

Bioconductor version: Release (3.16)

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 <sarahballouz at gmail.com>

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

Installation

To install this package, start R (version "4.2") and enter:

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

BiocManager::install("EGAD")

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

Documentation

PDF   Reference Manual
Text   NEWS

Details

biocViews FunctionalGenomics, FunctionalPrediction, GenePrediction, GraphAndNetwork, Network, NetworkEnrichment, Software, SystemsBiology
Version 1.26.0
In Bioconductor since BioC 3.3 (R-3.3) (7 years)
License GPL-2
Depends R (>= 3.5)
Imports gplots, Biobase, GEOquery, limma, impute, RColorBrewer, zoo, igraph, plyr, MASS, RCurl, methods
LinkingTo
Suggests knitr, testthat, rmarkdown, markdown
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_1.26.0.tar.gz
Windows Binary EGAD_1.26.0.zip
macOS Binary (x86_64) EGAD_1.26.0.tgz
macOS Binary (arm64) EGAD_1.26.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/EGAD
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/EGAD
Bioc Package Browser https://code.bioconductor.org/browse/EGAD/
Package Short Url https://bioconductor.org/packages/EGAD/
Package Downloads Report Download Stats

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