BioCor
Bioc currentFunctional Similarities
Release Lineage
Entered 3.5 · Apr 25, 2017
Current · Requires R 4.6
Description
Calculates functional similarities based on the pathways described on KEGG and REACTOME or in gene sets. These similarities can be calculated for pathways or gene sets, genes, or clusters and combined with other similarities. They can be used to improve networks, gene selection, testing relationships...
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
35 26 exported
Complexity
5.5 avg / 17 max
Call network
35 nodes / 29 edges
Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
5,363
Files
85
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
26
Internal functions
9
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.48
testthat edition
3
CI present
Yes
CI type
["github-actions"]
PR gated
Yes
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
–
Unsafe pattern score
0
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
4.4
System requirements
–
C++ standard
–
License
MIT + file LICENSE
License flags
SPDX valid, OSI approved
History
Versions
19
First release
2017-05-17
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
10
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 100%
- Documented parameters
- 85%
- Return-value docs
- 100%
- References docs
- 8%
Topics
People
- Lluís Revilla Sancho author maintainer
- Juan José Salvatella Lozano ths
- Pau Sancho-Bru ths
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("BioCor")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.