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CelliD

Bioc current

Unbiased Extraction of Single Cell gene signatures using Multiple Correspondence Analysis

v1.19.0 · software · GPL-3 + file LICENSE

Release Lineage

Entered 3.13 · May 20, 2021

Current · Requires R 4.6

1.0 In 11 of 49 releases 3.23

Description

CelliD is a clustering-free multivariate statistical method for the robust extraction of per-cell gene signatures from single-cell RNA-seq. CelliD allows unbiased cell identity recognition across different donors, tissues-of-origin, model organisms and single-cell omics protocols. The package can also be used to explore functional pathways enrichment in single cell data.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

73 15 exported

Complexity

1.8 avg / 14 max

Call network

73 nodes / 68 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

3,897

Files

61

Compiled share

3.7%

Has compiled src

Yes

Language breakdown

R 1,994 (51.2%)C/C++/src 145 (3.7%)Tests 171 (4.4%)Docs 1,252 (32.1%)Vignettes 335 (8.6%)

API

Exported functions

15

Internal functions

24

Testing & CI

Has tests

Yes

Test-to-code ratio

0.09

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

Unsafe pattern score

0

Dep constraint coverage

4.3%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.1

System requirements

C++ standard

C++11

License

GPL-3 + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

11

First release

2021-05-19

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

0

LOC over versions

v3.13: 3,886 LOCv3.14: 3,886 LOCv3.15: 3,886 LOCv3.16: 3,886 LOCv3.17: 3,886 LOCv3.18: 3,891 LOCv3.19: 3,891 LOCv3.20: 3,891 LOCv3.21: 3,891 LOCv3.22: 3,891 LOCv3.23: 3,897 LOC

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

Documentation

Documentation
READMEYes · 571 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
17%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("CelliD")
Cortal, A., & Rausell, A. (2026). CelliD: Unbiased Extraction of Single Cell gene signatures using Multiple Correspondence Analysis (Version 1.19.0) [Computer software]. https://bioconductor.org/packages/CelliD

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 CelliD version 1.19.0 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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