Skip to content

Cepo

Bioc current

Cepo for the identification of differentially stable genes

v1.18.0 · 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.

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

1,561

Files

36

Compiled share

0%

Has compiled src

No

Language breakdown

R 772 (49.5%)Tests 175 (11.2%)Docs 262 (16.8%)Vignettes 352 (22.5%)

API

Exported functions

3

Internal functions

17

Testing & CI

Has tests

Yes

Test-to-code ratio

0.23

testthat edition

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

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: 1,411 LOCv3.15: 1,557 LOCv3.16: 1,557 LOCv3.17: 1,557 LOCv3.18: 1,557 LOCv3.19: 1,561 LOCv3.20: 1,561 LOCv3.21: 1,561 LOCv3.22: 1,561 LOCv3.23: 1,561 LOC

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

Documentation

Documentation
READMEYes · 212 wordsVignettesYes · dynamicpkgdown siteYesNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Topics

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 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 Cepo version 1.18.0 [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.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy