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Mulcom

Bioc current

Calculates Mulcom test

v1.62.0 · software · GPL-2

Release Lineage

Entered 2.7 · Oct 18, 2010

Current · Requires R 4.6

1.0 In 32 of 49 releases 3.23

Description

Identification of differentially expressed genes and false discovery rate (FDR) calculation by Multiple Comparison test.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

32 13 exported

Complexity

3.3 avg / 6 max

Call network

32 nodes / 23 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

2,339

Files

60

Compiled share

44.2%

Has compiled src

Yes

Language breakdown

R 546 (23.3%)C/C++/src 1,035 (44.2%)Docs 732 (31.3%)Vignettes 26 (1.1%)

API

Exported functions

13

Internal functions

2

Testing & CI

Has tests

No

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

0%

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

2.10

System requirements

C++ standard

License

GPL-2

License flags

SPDX valid, OSI approved

History

Versions

32

First release

2010-10-18

Latest release

2026-04-28

Avg cadence

183 days

Cold removal rate

Dep drift

0

LOC over versions

v2.7: 1,580 LOCv2.8: 2,319 LOCv2.9: 2,319 LOCv2.10: 2,319 LOCv2.11: 2,319 LOCv2.12: 2,319 LOCv2.13: 2,319 LOCv2.14: 3,565 LOCv3.0: 3,565 LOCv3.1: 3,565 LOCv3.2: 3,565 LOCv3.3: 3,565 LOCv3.4: 3,565 LOCv3.5: 3,565 LOCv3.6: 3,565 LOCv3.7: 3,565 LOCv3.8: 3,565 LOCv3.9: 2,339 LOCv3.10: 2,339 LOCv3.11: 2,339 LOCv3.12: 2,339 LOCv3.13: 2,339 LOCv3.14: 2,339 LOCv3.15: 2,339 LOCv3.16: 2,339 LOCv3.17: 2,339 LOCv3.18: 2,339 LOCv3.19: 2,339 LOCv3.20: 2,339 LOCv3.21: 2,339 LOCv3.22: 2,339 LOCv3.23: 2,339 LOC

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

Documentation

Documentation
READMEYes · 1 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
38%
References docs
3%

Datasets

Bundled datasets · 7
NameClassRows × ColsAlso in
Affy
AffyIlmndata.frame11,298 × 7No other package
limmaAffySymbolsfactorNo other package
limmaIlmnSymbolsfactorNo other package
mulcomGeneListIlmnvectorNo other package
samAffySymbolsfactorNo other package
samIlmnSymbolsfactorNo other package

All of Mulcom's data objects

Topics

Depended on by (1)

Bioconductor (1)

People

Claudio Isella

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("Mulcom")

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 Mulcom version 1.62.0 [Data set]. HJJB, LLC. Data release v2026-08-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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