GENIE3
GEne Network Inference with Ensemble of trees
Bioconductor version: Release (3.19)
This package implements the GENIE3 algorithm for inferring gene regulatory networks from expression data.
Author: Van Anh Huynh-Thu, Sara Aibar, Pierre Geurts
Maintainer: Van Anh Huynh-Thu <vahuynh at uliege.be>
Citation (from within R, enter
citation("GENIE3")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("GENIE3")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("GENIE3")
GENIE3 | HTML | R Script |
Reference Manual | ||
NEWS | Text |
Details
biocViews | DecisionTree, GeneExpression, GraphAndNetwork, Network, NetworkInference, Regression, Software, SystemsBiology |
Version | 1.26.0 |
In Bioconductor since | BioC 3.6 (R-3.4) (7 years) |
License | GPL (>= 2) |
Depends | |
Imports | stats, reshape2, dplyr |
System Requirements | |
URL |
See More
Suggests | knitr, rmarkdown, foreach, doRNG, doParallel, Biobase, SummarizedExperiment, testthat, methods, BiocStyle |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | BioNERO, MetNet, bulkAnalyseR |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | GENIE3_1.26.0.tar.gz |
Windows Binary (x86_64) | GENIE3_1.26.0.zip |
macOS Binary (x86_64) | GENIE3_1.26.0.tgz |
macOS Binary (arm64) | GENIE3_1.26.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/GENIE3 |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/GENIE3 |
Bioc Package Browser | https://code.bioconductor.org/browse/GENIE3/ |
Package Short Url | https://bioconductor.org/packages/GENIE3/ |
Package Downloads Report | Download Stats |