EGAD
This package is for version 3.19 of Bioconductor; for the stable, up-to-date release version, see EGAD.
Extending guilt by association by degree
Bioconductor version: 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 gmail.com>
Citation (from within R, enter
citation("EGAD")
):
Installation
To install this package, start R (version "4.4") 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
Reference Manual | |
NEWS | Text |
Details
biocViews | FunctionalGenomics, FunctionalPrediction, GenePrediction, GraphAndNetwork, Network, NetworkEnrichment, Software, SystemsBiology |
Version | 1.32.0 |
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 | |
URL |
See More
Suggests | knitr, testthat, rmarkdown, markdown |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | EGAD_1.32.0.tar.gz |
Windows Binary (x86_64) | EGAD_1.32.0.zip (64-bit only) |
macOS Binary (x86_64) | EGAD_1.32.0.tgz |
macOS Binary (arm64) | EGAD_1.32.0.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 |