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BreastSubtypeR

Bioc current

Cohort-aware methods for intrinsic molecular subtyping of breast cancer

v1.4.0 · software · GPL-3

Release Lineage

Entered 3.21 · Apr 16, 2025

Current · Requires R 4.6

1.0 In 3 of 49 releases 3.23

Description

BreastSubtypeR provides an assumption-aware, multi-method framework for intrinsic molecular subtyping of breast cancer. The package harmonizes several published nearest-centroid (NC) and single-sample predictor (SSP) classifiers, supplies method-specific preprocessing and robust probe-to-gene mapping, and implements a cohort-aware AUTO mode that selectively enables classifiers compatible with the cohort composition. A local Shiny app (iBreastSubtypeR) is included for interactive analyses and to support users without programming experience.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

61 15 exported

Complexity

7.1 avg / 66 max

Call network

61 nodes / 61 edges

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

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Lowest coverage

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

Code

Structure

Lines of code

7,384

Files

56

Compiled share

0%

Has compiled src

No

Language breakdown

R 5,756 (78%)Tests 21 (0.3%)Docs 1,297 (17.6%)Vignettes 310 (4.2%)

API

Exported functions

15

Internal functions

46

Recent export changes

v3.21+15 BS_AIMS, BS_Multi, BS_PCAPAM50 +12 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

0%

Unsafe pattern score

0

Dep constraint coverage

31.6%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.5.0

System requirements

C++ standard

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

3

First release

2025-04-15

Latest release

2026-04-28

Avg cadence

189 days

Cold removal rate

Dep drift

2

LOC over versions

v3.21: 6,442 LOCv3.22: 6,981 LOCv3.23: 7,384 LOC

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

Documentation

Documentation
READMEYes · 734 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
70%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BreastSubtypeR")
Yang, Q., & Sifakis, E. G. (2026). BreastSubtypeR: Cohort-aware methods for intrinsic molecular subtyping of breast cancer (Version 1.4.0) [Computer software]. https://bioconductor.org/packages/BreastSubtypeR

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 BreastSubtypeR version 1.4.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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