CellNOptR
Bioc currentTraining of boolean logic models of signalling networks using prior knowledge networks and perturbation data
Release Lineage
Entered 2.9 · Nov 1, 2011
Current · Requires R 4.6
Description
This package does optimisation of boolean logic networks of signalling pathways based on a previous knowledge network and a set of data upon perturbation of the nodes in the network.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
127 69 exported
Complexity
9 avg / 52 max
Call network
127 nodes / 198 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
19,656
Files
251
Compiled share
6.6%
Has compiled src
Yes
Language breakdown
API
Exported functions
69
Internal functions
51
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.04
testthat edition
–
CI present
Yes
CI type
["github-actions"]
PR gated
Yes
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
33.3%
Unsafe pattern score
0
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
4.0.0
System requirements
1
C++ standard
–
License
GPL-3
License flags
SPDX valid, OSI approved
History
Versions
30
First release
2011-10-31
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
100%
Dep drift
11
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 96%
- Documented parameters
- 97%
- Return-value docs
- 91%
- References docs
- 32%
Topics
Depended on by (6)
People
- Attila Gabor maintainer
- Thomas Cokelaer author
- Federica Eduati author
- Enio Gjerga contributor
- Aidan MacNamara author
- S Schrier contributor
- Camille Terfve author
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("CellNOptR")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 v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.