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miRSM

Bioc current

Inferring miRNA sponge modules in heterogeneous data

v2.8.2 · Package record · 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.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

78 20 exported

Complexity

8.3 avg / 39 max

Call network

78 nodes / 59 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

11,668

Files

61

Compiled share

29.7%

Has compiled src

Yes

Language breakdown

R 4,816 (41.3%)C/C++/src 3,467 (29.7%)Tests 16 (0.1%)Docs 1,306 (11.2%)Vignettes 2,063 (17.7%)

API

Exported functions

20

Internal functions

34

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

Has tests

Yes

Test-to-code ratio

0.00

testthat edition

–

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

2026-09-05

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: 11,668 LOC

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

Documentation

In the Bioconductor 3.23 release
READMEYes · 76 wordsVignettesYes · 1 · dynamicNEWSYes · 0% structuredCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
25
Examples that run
95%19 run in a plain check · 1 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
56%

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/zhangjunpeng411/mirsm on 2026-10-21.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Datasets

Bundled datasets · 6
NameClassSizeAlso in
BRCA_genes–––
Groundtruth_highdata.frame3,728 × 2No other package
ceRExp–––
mRExp–––
miRExp–––
miRTarget–––

All of miRSM's data objects

Topics

Maintainer
Junpeng Zhang

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' entry:

citation("miRSM")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1080/15476286.2021.1905341, 10.1016/j.xpro.2024.103317.

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 2.8.2 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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