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CrcBiomeScreen

Bioc current

An R package for colorectal cancer screening and microbiome analysis

v1.0.0 · Package record · software · MIT + file LICENSE

Release Lineage

Entered 3.23 · Apr 29, 2026

Current · Requires R 4.6

1.0 In 1 of 49 releases 3.23

Description

A developed and benchmarked reproducible machine learning framework for microbiome-based colorectal cancer (CRC) screening. By systematically evaluating normalization strategies, taxonomic resolutions, and class imbalance handling. This R package allows users to apply the full pipeline or selectively run specific components depending on their analytical needs. It establishes a scalable foundation for developing interpretable microbiome-based screening tools to support early CRC detection. This approach could be easily implemented in a national screening programme, to improve early detection rates for this disease.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

22 22 exported

Complexity

5.1 avg / 20 max

Call network

22 nodes / 12 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

6,328

Files

79

Compiled share

0%

Has compiled src

No

Language breakdown

R 3,017 (47.7%)Tests 291 (4.6%)Docs 2,263 (35.8%)Vignettes 757 (12%)

API

Exported functions

34

Internal functions

0

Recent export changes

v3.23+34 setNormalizedData<-, setTaxaData<-, CreateCrcBiomeScreenObject +31 more

Testing

Has tests

Yes

Test-to-code ratio

0.10

testthat edition

3

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

100%

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.3.0

System requirements

–

C++ standard

–

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

1

First release

2026-04-28

Latest release

2026-04-28

Avg cadence

–

Cold removal rate

–

Dep drift

0

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 · 112 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
38
Examples that run
94%32 run in a plain check · 2 hold no code
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%
Vignettes (1)

Repository practices

Upstream repositoryBeta

Checks run against github.com/omicsforestry/crcbiomescreen on 2026-10-18.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v3 (2026-09-26)

Datasets

Bundled datasets · 3
NameClassSizeAlso in
NHSBCSP_screeningDatadata.frame2,252 × 647No other package
Thomas_2018_RelativeAbundancelist1 elementNo other package
ZellerG_2014_RelativeAbundancelist1 elementNo other package

All of CrcBiomeScreen's data objects

Topics

Maintainer
Chengxin Li

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("CrcBiomeScreen")
Li, C., Bezbaruah, R., Gusnanto, A., & Wood, H. (2026). CrcBiomeScreen: An R package for colorectal cancer screening and microbiome analysis (Version 1.0.0) [Computer software]. https://bioconductor.org/packages/CrcBiomeScreen

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 CrcBiomeScreen version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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