EnrichDO: a Global Weighted Model for Disease Ontology Enrichment Analysis
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.
| Version: |
0.1-1 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
BiocGenerics, Rgraphviz, clusterProfiler, hash, S4Vectors, dplyr, ggplot2, graph, magrittr, methods, pheatmap, purrr, readr, stringr, tidyr, grDevices, stats, RColorBrewer |
| Suggests: |
knitr, rmarkdown, org.Hs.eg.db, testthat (≥ 3.0.0) |
| Published: |
2024-09-19 |
| DOI: |
10.32614/CRAN.package.EnrichDO |
| Author: |
Liang Cheng [aut],
Haixiu Yang [aut, cre],
Hongyu Fu [ctb] |
| Maintainer: |
Haixiu Yang <yanghaixiu at ems.hrbmu.edu.cn> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
EnrichDO results |
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