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meshes

Bioc current

MeSH Enrichment and Semantic analyses

v1.38.0 · software · Artistic-2.0

Release Lineage

Entered 3.4 · Oct 18, 2016

Current · Requires R 4.6

1.0 In 20 of 49 releases 3.23

Description

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.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

15 5 exported

Complexity

2.7 avg / 12 max

Call network

15 nodes / 10 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

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Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

844

Files

37

Compiled share

0%

Has compiled src

No

Language breakdown

R 489 (57.9%)Docs 302 (35.8%)Vignettes 53 (6.3%)

API

Exported functions

8

Internal functions

10

Recent export changes

v3.7+8 cnetplot, dotplot, emapplot +5 more

Testing & CI

Has tests

No

Test-to-code ratio

0.00

testthat edition

CI present

Yes

CI type

["travis","appveyor"]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

Unsafe pattern score

0

Dep constraint coverage

11.1%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.1.0

System requirements

C++ standard

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

20

First release

2016-10-17

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

100%

Dep drift

12

LOC over versions

v3.4: 1,061 LOCv3.5: 1,060 LOCv3.6: 1,060 LOCv3.7: 991 LOCv3.8: 993 LOCv3.9: 960 LOCv3.10: 960 LOCv3.11: 980 LOCv3.12: 746 LOCv3.13: 746 LOCv3.14: 859 LOCv3.15: 859 LOCv3.16: 859 LOCv3.17: 859 LOCv3.18: 859 LOCv3.19: 859 LOCv3.20: 877 LOCv3.21: 877 LOCv3.22: 877 LOCv3.23: 844 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

Documentation
READMEYes · 144 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
40%
Documented parameters
100%
Return-value docs
83%
References docs
0%

Topics

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