RegEnrich
Bioc currentGene regulator enrichment analysis
Release Lineage
Entered 3.12 · Oct 28, 2020
Current · Requires R 4.6
Description
This package is a pipeline to identify the key gene regulators in a biological process, for example in cell differentiation and in cell development after stimulation. There are four major steps in this pipeline: (1) differential expression analysis; (2) regulator-target network inference; (3) enrichment analysis; and (4) regulators scoring and ranking.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
49 13 exported
Complexity
4.4 avg / 21 max
Call network
49 nodes / 53 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
6,352
Files
55
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
20
Internal functions
36
Testing & CI
Has tests
Yes
Test-to-code ratio
0.01
testthat edition
–
CI present
No
CI type
[]
PR gated
No
Docs
Roxygen coverage
95%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
–
Unsafe pattern score
6
Dep constraint coverage
5%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
4.0.0
System requirements
–
C++ standard
–
License
GPL (>= 2)
License flags
SPDX valid, OSI approved
History
Versions
12
First release
2021-03-04
Latest release
2026-05-12
Avg cadence
182 days
Cold removal rate
–
Dep drift
4
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
- 93%
- Return-value docs
- 100%
- References docs
- 8%
Topics
People
- Weiyang Tao maintainer author
- Aridaman Pandit author