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ccfindR

Bioc current

Cancer Clone Finder

v1.32.0 · Package record · software · GPL (>= 2)

Release Lineage

Entered 3.7 · May 1, 2018

Current · Requires R 4.6

1.0 In 17 of 49 releases 3.23

Description

A collection of tools for cancer genomic data clustering analyses, including those for single cell RNA-seq. Cell clustering and feature gene selection analysis employ Bayesian (and maximum likelihood) non-negative matrix factorization (NMF) algorithm. Input data set consists of RNA count matrix, gene, and cell bar code annotations. Analysis outputs are factor matrices for multiple ranks and marginal likelihood values for each rank. The package includes utilities for downstream analyses, including meta-gene identification, visualization, and construction of rank-based trees for clusters.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

49 26 exported

Complexity

5.8 avg / 31 max

Call network

49 nodes / 30 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

5,721

Files

83

Compiled share

2.3%

Has compiled src

Yes

Language breakdown

R 2,740 (47.9%)C/C++/src 134 (2.3%)Docs 2,085 (36.4%)Vignettes 762 (13.3%)

API

Exported functions

37

Internal functions

20

Recent export changes

v3.9+2 meta_gene.cv, write_meta
v3.8+6 dbasis<-, dbasis, dcoeff +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

5.9%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.6.0

System requirements

–

C++ standard

C++11

License

GPL (>= 2)

License flags

SPDX valid, OSI approved

History

Versions

17

First release

2018-04-30

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

5

LOC over versions

v3.7: 4,374 LOCv3.8: 5,287 LOCv3.9: 5,523 LOCv3.10: 5,721 LOCv3.11: 5,721 LOCv3.12: 5,721 LOCv3.13: 5,721 LOCv3.14: 5,721 LOCv3.15: 5,721 LOCv3.16: 5,721 LOCv3.17: 5,721 LOCv3.18: 5,721 LOCv3.19: 5,721 LOCv3.20: 5,721 LOCv3.21: 5,721 LOCv3.22: 5,721 LOCv3.23: 5,721 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 · 21 wordsVignettesYes · 1 · dynamicNEWSYes · 33% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
60includes a package overview page
Examples that run
100%45 run in a plain check
Exported functions with examples
92%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
3% with a bibliography file

Repository practices

Bioconductor git repository

Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.

No development-tooling practices detected in the Bioconductor git repository.

Datasets

Bundled datasets · 2
NameClassSizeAlso in
barcodesdata.frame449 × 1No other package
genesdata.frame1,029 × 2No other package

All of ccfindR's data objects

Topics

Maintainer
Jun Woo

Available on

CRANr2uBioconductorautoCRANCOPR

Suggested by (1)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ccfindR")
Woo, J., & Wang, J. (2026). ccfindR: Cancer Clone Finder (Version 1.32.0) [Computer software]. https://bioconductor.org/packages/ccfindR

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 ccfindR version 1.32.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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