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Cepo

Bioc current

Cepo for the identification of differentially stable genes

v1.18.0 · Package record · software · MIT + file LICENSE

Release Lineage

Entered 3.14 · Oct 27, 2021

Current · Requires R 4.6

1.0 In 10 of 49 releases 3.23

Description

Defining the identity of a cell is fundamental to understand the heterogeneity of cells to various environmental signals and perturbations. We present Cepo, a new method to explore cell identities from single-cell RNA-sequencing data using differential stability as a new metric to define cell identity genes. Cepo computes cell-type specific gene statistics pertaining to differential stable gene expression.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

20 3 exported

Complexity

3.5 avg / 16 max

Call network

20 nodes / 27 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

1,559

Files

25

Compiled share

0%

Has compiled src

No

Language breakdown

R 772 (49.5%)Tests 175 (11.2%)Docs 262 (16.8%)Vignettes 350 (22.5%)

API

Exported functions

3

Internal functions

17

Testing

Has tests

Yes

Test-to-code ratio

0.23

testthat edition

–

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

–

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.1

System requirements

–

C++ standard

–

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

10

First release

2021-10-26

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

2

LOC over versions

v3.14: 1,409 LOCv3.15: 1,555 LOCv3.16: 1,555 LOCv3.17: 1,555 LOCv3.18: 1,555 LOCv3.19: 1,559 LOCv3.20: 1,559 LOCv3.21: 1,559 LOCv3.22: 1,559 LOCv3.23: 1,559 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 · 212 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
6
Examples that run
75%3 run in a plain check · 1 hold no code
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Repository practices

Bioconductor git repository

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

3 practices detected in the Bioconductor git repository

Continuous integration (2)
GitHub ActionsPR checks
Docs source (1)
pkgdown

Datasets

Bundled datasets · 2
NameClassSizeAlso in
cellbench–––
sce_pancreas–––

All of Cepo's data objects

Topics

Maintainer
Hani Jieun Kim

Available on

CRANr2uBioconductorautoCRANCOPR

Depended on by (1)

Bioconductor (1)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("Cepo")
Kim, H. J., & Wang, K. (2026). Cepo: Cepo for the identification of differentially stable genes (Version 1.18.0) [Computer software]. https://bioconductor.org/packages/Cepo

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 Cepo version 1.18.0 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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