DOSE

DOI:10.18129/B9.bioc.DOSE

This package is for version 3.14 of Bioconductor; for the stable, up-to-date release version, seeDOSE.

Disease Ontology Semantic and Enrichment analysis

Bioconductor version: 3.14

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.

Author: Guangchuang Yu [aut, cre], Li-Gen Wang [ctb], Vladislav Petyuk [ctb], Giovanni Dall'Olio [ctb], Erqiang Hu [ctb]

Maintainer: Guangchuang Yu

Citation (from within R, entercitation("DOSE")):

Installation

To install this package, start R (version "4.1") and enter:

if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("DOSE")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

查看文档的版本包age installed in your system, start R and enter:

browseVignettes("DOSE")

HTML R Script DOSE
PDF Reference Manual
Text NEWS

Details

biocViews Annotation,GeneSetEnrichment,MultipleComparison,Pathways,Software,Visualization
Version 3.20.1
In Bioconductor since BioC 2.9 (R-2.14) (10.5 years)
License Artistic-2.0
Depends R (>= 3.5.0)
Imports AnnotationDbi,BiocParallel,DO.db,fgsea,ggplot2,GOSemSim(>= 2.0.0), methods,qvalue,reshape2, stats, utils
LinkingTo
Suggests prettydoc,clusterProfiler,knitr,rmarkdown,org.Hs.eg.db,testthat
SystemRequirements
Enhances
URL https://yulab-smu.top/biomedical-knowledge-mining-book/
BugReports https://github.com/GuangchuangYu/DOSE/issues
Depends On Me
Imports Me bioCancer,clusterProfiler,debrowser,eegc,enrichplot,GDCRNATools,meshes,miRspongeR,MoonlightR,ReactomePA,RegEnrich,RNASeqR,scTensor,signatureSearch
Suggests Me cola,GOSemSim,MAGeCKFlute,Pigengene,rrvgo,scGPS,simplifyEnrichment
Links To Me
Build Report

Package Archives

Followbob 体育网址 instructions to use this package in your R session.

Source Package DOSE_3.20.1.tar.gz
Windows Binary DOSE_3.20.1.zip
macOS 10.13 (High Sierra) DOSE_3.20.1.tgz
Source Repository git clone https://git.bioconductor.org/packages/DOSE
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/DOSE
Package Short Url //www.anjoumacpherson.com/packages/DOSE/
Package Downloads Report Download Stats

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