geNetClassifier
Bioc currentClassify diseases and build associated gene networks using gene expression profiles
Release Lineage
Entered 2.12 · Apr 4, 2013
Current · Requires R 4.6
Description
Comprehensive package to automatically train and validate a multi-class SVM classifier based on gene expression data. Provides transparent selection of gene markers, their coexpression networks, and an interface to query the classifier.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
33 13 exported
Complexity
28 avg / 258 max
Call network
33 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
7,972
Files
63
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
13
Internal functions
19
Testing & CI
Has tests
Yes
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
14.3%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
2.10.1
System requirements
–
C++ standard
–
License
GPL (>= 2)
License flags
SPDX valid, OSI approved
History
Versions
27
First release
2013-05-21
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
3
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
- 100%
- Return-value docs
- 100%
- References docs
- 9%
Topics
Depended on by (2)
People
Sara Aibar
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("geNetClassifier")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.