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DOSE

Disease Ontology Semantic and Enrichment analysis

Bioconductor version: 3.24 · Package version: 4.7.3

Provides ontology-aware methods for disease and phenotype knowledge mining. DOSE supports semantic similarity analysis of disease and phenotype ontology terms, genes, and gene clusters using methods including Resnik, Schlicker, Jiang, Lin, and Wang. It also provides over-representation analysis and gene set enrichment analysis for interpreting gene vectors and ranked gene lists in disease, phenotype, and cancer contexts.

Installation

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

BiocManager::install("DOSE")

Details

MaintainerGuangchuang Yu <guangchuangyu@gmail.com>
AuthorGuangchuang Yu [aut, cre], Li-Gen Wang [ctb], Vladislav Petyuk [ctb], Giovanni Dall'Olio [ctb]
LicenseArtistic-2.0
URLhttps://yulab-smu.top/contribution-knowledge-mining/
Bug Reportshttps://github.com/GuangchuangYu/DOSE/issues
Downloads rank27313
Source branchdevel
biocViewsAnnotation, GeneSetEnrichment, MultipleComparison, Pathways, Software, Visualization

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageDOSE_4.7.3.tar.gz
macOS binary (arm64)DOSE_4.7.0.tgz
macOS binary (x86_64)DOSE_4.7.3.tgz
Dependencies

Depends: R (>= 3.5.0)

Imports: AnnotationDbi, enrichit (>= 0.2.2), ggplot2, GOSemSim (>= 2.39.2), gson (>= 0.0.5), memoise, methods, reshape2, utils, yulab.utils (> 0.2.2)

Suggests: aisdk, clusterProfiler, knitr, org.Hs.eg.db, org.Mm.eg.db, quarto, testthat

Reverse dependencies

Imports Me (17): bioCancer, enrichplot, ExpHunterSuite, GDCRNATools, GOaGO, goatea, miRSM, miRspongeR, Moonlight2R, MoonlightR, Pigengene, RegEnrich, scTensor, signatureSearch, SVMDO, TraianProt, vsclust

Suggests Me (15): BenchHub, clusterProfiler, cola, debrowser, enrichit, ggpicrust2, GOSemSim, GRaNIE, IOBR, rrvgo, scFeatures, scGPS, scGraphVerse, TDbasedUFEadv, wikiprofiler