This is the released version of EnrichDO; for the devel version, see EnrichDO.
a Global Weighted Model for Disease Ontology Enrichment AnalysisBioconductor version: Release (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, entercitation("EnrichDO")
): Installation
To install this package, start R (version "4.5") 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.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("EnrichDO")
Details biocViews Annotation, GeneSetEnrichment, Software, Visualization Version 1.2.0 In Bioconductor since BioC 3.20 (R-4.4) (0.5 years) License MIT + file LICENSE Depends R (>= 4.0.0) Imports BiocGenerics, Rgraphviz, clusterProfiler, hash, S4Vectors, dplyr, ggplot2, graph, magrittr, methods, pheatmap, graphics, utils, purrr, tidyr, stats System Requirements URL See More Package Archives
Follow Installation instructions to use this package in your R session.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4