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consensusOV

Bioc current

Gene expression-based subtype classification for high-grade serous ovarian cancer

v1.34.0 · Package record · software · Artistic-2.0

Release Lineage

Entered 3.6 · Oct 31, 2017

Current · Requires R 4.6

1.0 In 18 of 49 releases 3.23

Description

This package implements four major subtype classifiers for high-grade serous (HGS) ovarian cancer as described by Helland et al. (PLoS One, 2011), Bentink et al. (PLoS One, 2012), Verhaak et al. (J Clin Invest, 2013), and Konecny et al. (J Natl Cancer Inst, 2014). In addition, the package implements a consensus classifier, which consolidates and improves on the robustness of the proposed subtype classifiers, thereby providing reliable stratification of patients with HGS ovarian tumors of clearly defined subtype.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

9 8 exported

Complexity

3 avg / 13 max

Call network

9 nodes / 6 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

1,168

Files

28

Compiled share

0%

Has compiled src

No

Language breakdown

R 683 (58.5%)Docs 351 (30.1%)Vignettes 134 (11.5%)

API

Exported functions

8

Internal functions

0

Recent export changes

v3.6+6 get.bentink.subtypes, get.consensus.subtypes, get.helland.subtypes +3 more

Testing

Has tests

No

Test-to-code ratio

0.00

testthat edition

–

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

0

Dep constraint coverage

9.1%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.6

System requirements

–

C++ standard

–

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

18

First release

2017-10-30

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

2

LOC over versions

v3.6: 995 LOCv3.7: 995 LOCv3.8: 1,018 LOCv3.9: 1,018 LOCv3.10: 1,137 LOCv3.11: 1,137 LOCv3.12: 1,137 LOCv3.13: 1,137 LOCv3.14: 1,137 LOCv3.15: 1,137 LOCv3.16: 1,137 LOCv3.17: 1,137 LOCv3.18: 1,137 LOCv3.19: 1,168 LOCv3.20: 1,168 LOCv3.21: 1,168 LOCv3.22: 1,168 LOCv3.23: 1,168 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 · 130 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structuredCitation fileYes · cites a publicationWebsiteYes
Help pages
9
Examples that run
100%7 run in a plain check
Exported functions with examples
100%
Documented parameters
98%
Return-value docs
100%
Help pages citing references
56%

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/bhklab/consensusov on 2026-10-25.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Coverage (1)
Coverage reporting
Reproducibility and dev environment (1)
data-raw/
How this is detected·Detection ruleset v4 (2026-10-20)

Datasets

Bundled datasets · 2
NameClassSizeAlso in
FT_vs_OSE_signaturedata.frame112 × 3No other package
GSE14764.eset–––

5 internal objects are bundled for the package's own use and not listed here.

All of consensusOV's data objects

Topics

Available on

CRANr2uBioconductorautoCRANCOPR

Depended on by (1)

Bioconductor (1)

People

Cite

Cite this package

Run in R for the authors' entry:

citation("consensusOV")

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

It points to 10.1158/1078-0432.ccr-18-0784.

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 consensusOV version 1.34.0 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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