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miRSM

Bioc current

Inferring miRNA sponge modules in heterogeneous data

v2.8.0 · software · GPL-3

Release Lineage

Entered 3.8 · Oct 31, 2018

Current · Requires R 4.6

1.0 In 16 of 49 releases 3.23

Description

The package aims to identify miRNA sponge or ceRNA modules in heterogeneous data. It provides several functions to study miRNA sponge modules at single-sample and multi-sample levels, including popular methods for inferring gene modules (candidate miRNA sponge or ceRNA modules), and two functions to identify miRNA sponge modules at single-sample and multi-sample levels, as well as several functions to conduct modular analysis of miRNA sponge modules.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

79 20 exported

Complexity

8.4 avg / 39 max

Call network

79 nodes / 61 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

11,797

Files

64

Compiled share

29.4%

Has compiled src

Yes

Language breakdown

R 4,897 (41.5%)C/C++/src 3,467 (29.4%)Tests 16 (0.1%)Docs 1,352 (11.5%)Vignettes 2,065 (17.5%)

API

Exported functions

20

Internal functions

35

Recent export changes

v3.9+8 module_CEA, module_Coexpress, module_Validate +5 more
v3.8+9 cor_binary, miRSM, module_FA +6 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.00

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

25%

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.4.0

System requirements

C++ standard

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

16

First release

2018-10-30

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

26

LOC over versions

v3.8: 2,165 LOCv3.9: 3,282 LOCv3.10: 3,496 LOCv3.11: 3,521 LOCv3.12: 3,622 LOCv3.13: 3,622 LOCv3.14: 3,622 LOCv3.15: 3,622 LOCv3.16: 3,622 LOCv3.17: 3,622 LOCv3.18: 3,622 LOCv3.19: 7,495 LOCv3.20: 7,495 LOCv3.21: 7,495 LOCv3.22: 12,666 LOCv3.23: 11,797 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

Documentation
READMEYes · 76 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 0% structuredCode of conductNoContributing guideNo
Examples that run
95%
Documented parameters
100%
Return-value docs
100%
References docs
56%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("miRSM")
Zhang, J. (2026). miRSM: Inferring miRNA sponge modules in heterogeneous data (Version 2.8.0) [Computer software]. https://bioconductor.org/packages/miRSM

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for miRSM version 2.8.0 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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