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.
Code & tests
Open call graph →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.
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 & CI
Has tests
No
Test-to-code ratio
0.00
testthat edition
–
CI present
No
CI type
[]
PR gated
No
Docs
Return-value doc rate
100%
\dontrun example ratio
0%
Roxygen coverage
100%
Has pkgdown
No
NEWS present
No
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
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.
Topics
Depended on by (1)
Bioconductor (1)
People
Dong Li