Package: meshes 1.39.0

Guangchuang Yu

meshes: MeSH Enrichment and Semantic analyses

MeSH (Medical Subject Headings) is the NLM controlled vocabulary used to manually index articles for MEDLINE/PubMed. MeSH terms were associated by Entrez Gene ID by three methods, gendoo, gene2pubmed and RBBH. This association is fundamental for enrichment and semantic analyses. meshes supports enrichment analysis (over-representation and gene set enrichment analysis) of gene list or whole expression profile. The semantic comparisons of MeSH terms provide quantitative ways to compute similarities between genes and gene groups. meshes implemented five methods proposed by Resnik, Schlicker, Jiang, Lin and Wang respectively and supports more than 70 species.

Authors:Guangchuang Yu [aut, cre]

meshes_1.39.0.tar.gz
meshes_1.39.0.zip(r-4.7)meshes_1.39.0.zip(r-4.6)meshes_1.39.0.zip(r-4.5)
meshes_1.39.0.tgz(r-4.6-any)meshes_1.39.0.tgz(r-4.5-any)
meshes_1.39.0.tar.gz(r-4.7-any)meshes_1.39.0.tar.gz(r-4.6-any)
meshes_1.39.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
meshes/json (API)
NEWS

# Install 'meshes' in R:

install.packages('meshes', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/guangchuangyu/meshes/issues

Datasets:

hsamd - DATA Sets
meshtbl - DATA Sets

On BioConductor:meshes-1.39.0(bioc 3.24)meshes-1.38.0(bioc 3.23)

annotation clustering multiplecomparison software enrichment-analysis medical-subject-headings semantic-similarity

7.27 score 12 stars 52 scripts 569 downloads 3 mentions 8 exports 65 dependencies

Last updated from:5e7025fca4. Checks:1 ERROR, 9 OK. Indexed: yes.

Target	Result	Time
bioc-checks	ERROR	171
linux-devel-x86_64	OK	357
source / vignettes	OK	263
linux-release-x86_64	OK	236
macos-release-arm64	OK	135
macos-oldrel-arm64	OK	155
windows-devel	OK	223
windows-release	OK	163
windows-oldrel	OK	170
wasm-release	OK	133