library("txtplot")
library("ypages")

DOSE: Disease Ontology Semantic and Enrichment analysis

r badge_release("DOSE", "green") r badge_devel("DOSE", "green") Bioc r badge_download("DOSE", "total", "blue") r badge_download("DOSE", "month", "blue")

Project Status: Active - The project has reached a stable, usable state and is being actively developed. codecov Last-changedate commit GitHub forks GitHub stars

platform Build Status Linux/Mac Travis Build Status AppVeyor Build Status install with bioconda

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

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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.

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.

Citation

r badge_citation("Ug5p-4gJ2f0C", "16627502277303919270", "green")

d <- get_article_cite_history('DO5oG40AAAAJ', 'Ug5p-4gJ2f0C')
txtplot(d$year, d$cites)

Download stats

download 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)


aiminy/ModifiedDOSE documentation built on May 10, 2019, 7:36 a.m.