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
| Maintainer | Guangchuang Yu <guangchuangyu@gmail.com> |
| Author | Guangchuang Yu [aut, cre], Li-Gen Wang [ctb], Vladislav Petyuk [ctb], Giovanni Dall'Olio [ctb] |
| License | Artistic-2.0 |
| URL | https://yulab-smu.top/contribution-knowledge-mining/ |
| Bug Reports | https://github.com/GuangchuangYu/DOSE/issues |
| Downloads rank | 27313 |
| Source branch | devel |
| biocViews | Annotation, GeneSetEnrichment, MultipleComparison, Pathways, Software, Visualization |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | DOSE_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