BioNet
Bioc currentRoutines for the functional analysis of biological networks
Release Lineage
Entered 2.7 · Oct 18, 2010
Current · Requires R 4.6
Description
This package provides functions for the integrated analysis of protein-protein interaction networks and the detection of functional modules. Different datasets can be integrated into the network by assigning p-values of statistical tests to the nodes of the network. E.g. p-values obtained from the differential expression of the genes from an Affymetrix array are assigned to the nodes of the network. By fitting a beta-uniform mixture model and calculating scores from the p-values, overall scores of network regions can be calculated and an integer linear programming algorithm identifies the maximum scoring subnetwork.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
63 42 exported
Complexity
5.1 avg / 30 max
Call network
63 nodes / 43 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
4,792
Files
73
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
42
Internal functions
21
Testing & CI
Has tests
No
Test-to-code ratio
0.00
testthat edition
–
CI present
No
CI type
[]
PR gated
No
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
0%
Unsafe pattern score
0
Dep constraint coverage
20%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
2.10.0
System requirements
–
C++ standard
–
License
GPL (>= 2)
License flags
SPDX valid, OSI approved
History
Versions
32
First release
2010-10-18
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
5
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 95%
- Documented parameters
- 99%
- Return-value docs
- 67%
- References docs
- 16%
Topics
Depended on by (5)
Bioconductor (4)
CRAN (1)
People
Marcus Dittrich
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("BioNet")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.