GSgalgoR
Bioc currentAn Evolutionary Framework for the Identification and Study of Prognostic Gene Expression Signatures in Cancer
Release Lineage
Entered 3.12 · Oct 28, 2020
Current · Requires R 4.6
Description
A multi-objective optimization algorithm for disease sub-type discovery based on a non-dominated sorting genetic algorithm. The 'Galgo' framework combines the advantages of clustering algorithms for grouping heterogeneous 'omics' data and the searching properties of genetic algorithms for feature selection. The algorithm search for the optimal number of clusters determination considering the features that maximize the survival difference between sub-types while keeping cluster consistency high.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
39 21 exported
Complexity
2.2 avg / 12 max
Call network
39 nodes / 26 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
4,585
Files
132
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
21
Internal functions
13
Testing & CI
Has tests
Yes
Test-to-code ratio
0.16
testthat edition
–
CI present
No
CI type
[]
PR gated
No
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
–
System requirements
–
C++ standard
–
License
MIT + file LICENSE
License flags
SPDX valid, OSI approved
History
Versions
12
First release
2020-10-27
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
0
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
- 94%
- Return-value docs
- 100%
- References docs
- 11%
Topics
People
- Carlos Catania maintainer
- Martin Guerrero author
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("GSgalgoR")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 v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.