enrichViewNet
Bioc currentFrom functional enrichment results to biological networks
Release Lineage
Entered 3.18 · Oct 25, 2023
Current · Requires R 4.6
Description
This package enables the visualization of functional enrichment results as network graphs. First the package enables the visualization of enrichment results, in a format corresponding to the one generated by gprofiler2, as a customizable Cytoscape network. In those networks, both gene datasets (GO terms/pathways/protein complexes) and genes associated to the datasets are represented as nodes. While the edges connect each gene to its dataset(s). The package also provides the option to create enrichment maps from functional enrichment results. Enrichment maps enable the visualization of enriched terms into a network with edges connecting overlapping genes.
None published for Bioconductor
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
36 7 exported
Complexity
5.3 avg / 18 max
Call network
36 nodes / 48 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
11,651
Files
71
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
7
Internal functions
29
Recent export changes
Testing
Has tests
Yes
Test-to-code ratio
0.65
testthat edition
–
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
4.2.0
System requirements
–
C++ standard
–
License
Artistic-2.0
License flags
SPDX valid, OSI approved
History
Versions
6
First release
2023-10-24
Latest release
2026-04-28
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
- Help pages
- 42 (28 internal)includes a package overview page
- Examples that run
- 100%41 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 91%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Repository practices
6 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/adeschen/enrichviewnet on 2026-10-11.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
GitHub Pages site last deployed 2026-04-24 · The repository has a site deploy workflow
Datasets
| Name | Class | Size | Also in |
|---|---|---|---|
| demoGOST | list | 2 elements | No other package |
| parentalNapaVsDMSODEG | data.frame | 24,184 × 4 | No other package |
| parentalNapaVsDMSOEnrichment | list | 2 elements | No other package |
| rosaNapaVsDMSODEG | data.frame | 23,542 × 4 | No other package |
| rosaNapaVsDMSOEnrichment | list | 2 elements | No other package |
Topics
People
- Astrid Deschênes author maintainer
- Pascal Belleau author
- Robert L. Faure author
- Maria J. Fernandes author
- Alexander Krasnitz author
- David A. Tuveson author
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("enrichViewNet")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.