# DOSE

**Repository Path**: swcyo/DOSE

## Basic Information

- **Project Name**: DOSE
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-06-28
- **Last Updated**: 2023-06-29

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# DOSE: Disease Ontology Semantic and Enrichment analysis

[![](https://img.shields.io/badge/release%20version-3.18.1-green.svg)](https://www.bioconductor.org/packages/DOSE)
[![](https://img.shields.io/badge/devel%20version-3.19.3-green.svg)](https://github.com/guangchuangyu/DOSE)
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[![codecov](https://codecov.io/gh/GuangchuangYu/DOSE/branch/master/graph/badge.svg)](https://codecov.io/gh/GuangchuangYu/DOSE/)

[![Project Status: Active - The project has reached a stable, usable
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Status](http://www.bioconductor.org/shields/build/devel/bioc/DOSE.svg)](https://bioconductor.org/checkResults/devel/bioc-LATEST/DOSE/)
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Status](https://img.shields.io/appveyor/ci/Guangchuangyu/DOSE/master.svg?label=Windows)](https://ci.appveyor.com/project/GuangchuangYu/DOSE)

This package implements five methods proposed by Resnik, Schlicker,
Jiang, Lin and Wang respectively for measuring semantic similarities
among DO terms and gene products. Enrichment analyses including
hypergeometric model and gene set enrichment analysis are also
implemented for discovering disease associations of high-throughput
biological data.

For details, please visit
<https://yulab-smu.top/biomedical-knowledge-mining-book/>.

## :writing_hand: Authors

Guangchuang YU <https://yulab-smu.top>

School of Basic Medical Sciences, Southern Medical University

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------------------------------------------------------------------------

Please cite the following article when using `DOSE`:

***G Yu***, LG Wang, GR Yan, QY He. DOSE: an R/Bioconductor package for
Disease Ontology Semantic and Enrichment analysis. ***Bioinformatics***
2015, 31(4):608-609.

[![](https://img.shields.io/badge/doi-10.1093/bioinformatics/btu684-green.svg)](https://doi.org/10.1093/bioinformatics/btu684)
[![](https://img.shields.io/badge/Altmetric-26-green.svg)](https://www.altmetric.com/details/2788597)

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