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SingleCellExperiment

Bioc current

S4 Classes for Single Cell Data

v1.34.0 · software · GPL-3

Release Lineage

Entered 3.6 · Oct 31, 2017

Current · Requires R 4.6

1.0 In 18 of 49 releases 3.23

Description

Defines a S4 class for storing data from single-cell experiments. This includes specialized methods to store and retrieve spike-in information, dimensionality reduction coordinates and size factors for each cell, along with the usual metadata for genes and libraries.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

52 9 exported

Complexity

3.3 avg / 17 max

Call network

52 nodes / 17 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

9,244

Files

86

Compiled share

0%

Has compiled src

No

Language breakdown

R 4,056 (43.9%)Tests 2,436 (26.4%)Docs 2,093 (22.6%)Vignettes 659 (7.1%)

API

Exported functions

61

Internal functions

41

Recent export changes

v3.8+8 int_colData<-, int_elementMetadata<-, int_metadata<- +5 more
v3.7+27 cpm<-, factorData<-, featureLoadings<- +24 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.60

testthat edition

CI present

Yes

CI type

["travis"]

PR gated

No

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

System requirements

C++ standard

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

18

First release

2017-10-30

Latest release

2026-04-28

Avg cadence

181 days

Cold removal rate

83.3%

Dep drift

3

LOC over versions

v3.6: 1,840 LOCv3.7: 3,168 LOCv3.8: 3,604 LOCv3.9: 3,604 LOCv3.10: 5,111 LOCv3.11: 5,119 LOCv3.12: 6,987 LOCv3.13: 8,795 LOCv3.14: 9,111 LOCv3.15: 9,117 LOCv3.16: 9,149 LOCv3.17: 9,149 LOCv3.18: 9,149 LOCv3.19: 9,164 LOCv3.20: 9,214 LOCv3.21: 9,220 LOCv3.22: 9,220 LOCv3.23: 9,244 LOC

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

Documentation

Documentation
READMEYes · 82 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
95%
Return-value docs
56%
References docs
0%

Topics

Depended on by (373)

CRAN (25)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SingleCellExperiment")
Risso, D., Korthauer, K., Lun, A., Rue-Albrecht, K., & Zappia, L. (2026). SingleCellExperiment: S4 Classes for Single Cell Data (Version 1.34.0) [Computer software]. https://bioconductor.org/packages/SingleCellExperiment

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 SingleCellExperiment version 1.34.0 [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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