EnrichDO

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

a Global Weighted Model for Disease Ontology Enrichment Analysis


Bioconductor version: Development (3.21)

To implement disease ontology (DO) enrichment analysis, this package is designed and presents a double weighted model based on the latest annotations of the human genome with DO terms, by integrating the DO graph topology on a global scale. This package exhibits high accuracy that it can identify more specific DO terms, which alleviates the over enriched problem. The package includes various statistical models and visualization schemes for discovering the associations between genes and diseases from biological big data.

Author: Liang Cheng [aut], Haixiu Yang [aut], Hongyu Fu [cre]

Maintainer: Hongyu Fu <2287531995 at qq.com>

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

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("EnrichDO")

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("EnrichDO")
EnrichDO: Disease Ontology Enrichment Analysis HTML R Script
Reference Manual PDF
LICENSE Text

Details

biocViews Annotation, GeneSetEnrichment, Software, Visualization
Version 1.1.0
In Bioconductor since BioC 3.20 (R-4.4) (< 6 months)
License MIT + file LICENSE
Depends R (>= 3.5.0)
Imports BiocGenerics, Rgraphviz, clusterProfiler, hash, S4Vectors, dplyr, ggplot2, graph, magrittr, methods, pheatmap, graphics, utils, purrr, readr, stringr, tidyr, grDevices, stats, RColorBrewer
System Requirements
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See More
Suggests knitr, rmarkdown, org.Hs.eg.db, testthat (>= 3.0.0), BiocStyle
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Package Archives

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

Source Package EnrichDO_1.1.0.tar.gz
Windows Binary (x86_64) EnrichDO_1.1.0.zip
macOS Binary (x86_64) EnrichDO_1.1.0.tgz
macOS Binary (arm64) EnrichDO_1.1.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/EnrichDO
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/EnrichDO
Bioc Package Browser https://code.bioconductor.org/browse/EnrichDO/
Package Short Url https://bioconductor.org/packages/EnrichDO/
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