EGAD

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

Extending guilt by association by degree


Bioconductor version: Development (3.21)

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 "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("EGAD")

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

Documentation

Reference Manual PDF

Details

biocViews FunctionalGenomics, FunctionalPrediction, GenePrediction, GraphAndNetwork, Network, NetworkEnrichment, Software, SystemsBiology
Version 1.35.0
In Bioconductor since BioC 3.3 (R-3.3) (8.5 years)
License GPL-2
Depends R (>= 3.5)
Imports gplots, Biobase, GEOquery, limma, impute, RColorBrewer, zoo, igraph, plyr, MASS, RCurl, methods
System Requirements
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Suggests knitr, testthat, rmarkdown, markdown
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Package Archives

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

Source Package EGAD_1.35.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
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/
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