ctsGE
Bioc currentClustering of Time Series Gene Expression data
Release Lineage
Entered 3.4 · Oct 18, 2016
Current · Requires R 4.6
Description
Methodology for supervised clustering of potentially many predictor variables, such as genes etc., in time series datasets Provides functions that help the user assigning genes to predefined set of model profiles.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
6 6 exported
Complexity
6.5 avg / 13 max
Call network
6 nodes / 2 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
1,375
Files
32
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
6
Internal functions
0
Testing & CI
Has tests
Yes
Test-to-code ratio
0.03
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
3.2
System requirements
–
C++ standard
–
License
GPL-2
License flags
SPDX valid, OSI approved
History
Versions
20
First release
2016-10-17
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
- 83%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Topics
People
- Michal Sharabi-Schwager author maintainer
- Ron Ophir author