EGAD

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

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3

Extending guilt by association by degree

Bioconductor version: Development (3.24)

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")):

Sara Ballouz, Melanie Weber, Paul Pavlidis, Jesse Gillis. EGAD: Extending guilt by association by degree. doi:10.18129/B9.bioc.EGAD, R package version 1.41.0, https://bioconductor.org/packages/EGAD.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("EGAD")

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

Documentation

No vignettes available
Reference Manual	PDF
NEWS	Text

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	FunctionalGenomics, FunctionalPrediction, GenePrediction, GraphAndNetwork, Network, NetworkEnrichment, Software, SystemsBiology
Version	1.41.0
In Bioconductor since	BioC 3.3 (R-3.3) (10.5 years)
License	GPL-2
Depends	R (>= 3.5)
Imports	gplots, Biobase, GEOquery, limma, impute, RColorBrewer, zoo, igraph, plyr, MASS, RCurl, methods
System Requirements
URL

Suggests	knitr, testthat, rmarkdown, markdown
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report	Build Report, r-universe

Package Archives

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

Source Package	EGAD_1.41.0.tar.gz
Windows Binary (x86_64)	EGAD_1.41.0.zip (64-bit only)
macOS Binary (big-sur-x86_64)	EGAD_1.41.0.tgz
macOS Binary (sonoma-arm64)	EGAD_1.41.0.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