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EnrichDO

This is the released version of EnrichDO; for the devel version, see EnrichDO.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20

a Global Weighted Model for Disease Ontology Enrichment Analysis


Bioconductor version: Release (3.23)

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 [aut, cre]

Maintainer: Hongyu Fu <2287531995 at qq.com>

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

Liang Cheng, Haixiu Yang, Hongyu Fu. EnrichDO: a Global Weighted Model for Disease Ontology Enrichment Analysis. doi:10.18129/B9.bioc.EnrichDO, R package version 1.6.0, https://bioconductor.org/packages/EnrichDO.

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")

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 ManualPDF
LICENSEText

Details

biocViews Annotation, GeneSetEnrichment, Software, Visualization
Version1.6.0
In Bioconductor sinceBioC 3.20 (R-4.4) (2 years)
License MIT + file LICENSE
Depends R (>= 4.0.0)
Imports BiocGenerics, Rgraphviz, hash, S4Vectors, dplyr, ggplot2, graph, magrittr, methods, pheatmap, graphics, utils, purrr, tidyr, stats
System Requirements
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Suggests knitr, rmarkdown, 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_1.6.0.tar.gz
Windows Binary (x86_64) EnrichDO_1.6.0.zip
macOS Binary (big-sur-x86_64) EnrichDO_1.6.0.tgz
macOS Binary (sonoma-arm64) EnrichDO_1.6.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/EnrichDO
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/EnrichDO
Package Short Url https://bioconductor.org/packages/EnrichDO/
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