library("txtplot") library("ypages")
r badge_release("DOSE", "green")
r badge_devel("DOSE", "green")
r badge_download("DOSE", "total", "blue")
r badge_download("DOSE", "month", "blue")
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.
Here we add a weighted hypergeometric model
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.
r badge_doi("10.1093/bioinformatics/btu684", "green")
r badge_citation("Ug5p-4gJ2f0C", "16627502277303919270", "green")
r badge_altmetric("2788597", "green")
For details, please visit our project website, https://guangchuangyu.github.io/DOSE.
r badge_citation("Ug5p-4gJ2f0C", "16627502277303919270", "green")
d <- get_article_cite_history('DO5oG40AAAAJ', 'Ug5p-4gJ2f0C') txtplot(d$year, d$cites)
r badge_download("DOSE", "total", "blue")
r badge_download("DOSE", "month", "blue")
x <- dlstats::bioc_stats("DOSE") x <- x[-nrow(x), ] # last month data is not complete txtplot(ggtree::Date2decimal(x$end), x$Nb_of_downloads, width=100, height=25)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.