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Extending guilt by association by degree

Bioconductor version: Release (3.19)

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>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


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


Reference Manual PDF


biocViews FunctionalGenomics, FunctionalPrediction, GenePrediction, GraphAndNetwork, Network, NetworkEnrichment, Software, SystemsBiology
Version 1.32.0
In Bioconductor since BioC 3.3 (R-3.3) (8 years)
License GPL-2
Depends R (>= 3.5)
Imports gplots, Biobase, GEOquery, limma, impute, RColorBrewer, zoo, igraph, plyr, MASS, RCurl, methods
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Suggests knitr, testthat, rmarkdown, markdown
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Follow Installation instructions to use this package in your R session.

Source Package EGAD_1.32.0.tar.gz
Windows Binary (64-bit only)
macOS Binary (x86_64) EGAD_1.32.0.tgz
macOS Binary (arm64) EGAD_1.32.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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