AMOUNTAIN
Bioc currentActive modules for multilayer weighted gene co-expression networks: a continuous optimization approach
Release Lineage
Entered 3.4 · Oct 18, 2016
Current · Requires R 4.6
Description
A pure data-driven gene network, weighted gene co-expression network (WGCN) could be constructed only from expression profile. Different layers in such networks may represent different time points, multiple conditions or various species. AMOUNTAIN aims to search active modules in multi-layer WGCN using a continuous optimization approach.
None published for Bioconductor
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
19 10 exported
Complexity
2.4 avg / 5 max
Call network
19 nodes / 16 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
1,870
Files
22
Compiled share
24.4%
Has compiled src
Yes
Language breakdown
API
Exported functions
10
Internal functions
0
Recent export changes
Testing
Has tests
No
Test-to-code ratio
0.00
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
3.3.0
System requirements
1 externalgsl
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
100%
Dep drift
1
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Help pages
- 10
- Examples that run
- 100%10 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 70%
- Vignette Title HTML
Repository practices
Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.
No development-tooling practices detected in the Bioconductor git repository.
Topics
Depended on by (1)
Bioconductor (1)
People (from the free-text Author field)
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("AMOUNTAIN")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.