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SingleCellExperiment

Bioc current

S4 Classes for Single Cell Data

v1.34.0 · Package record · 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.

Advisories

None published for Bioconductor

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.

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

9,244

Files

82

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

Has tests

Yes

Test-to-code ratio

0.60

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

–

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

In the Bioconductor 3.23 release
READMEYes · 82 wordsVignettesYes · 3 · dynamicNEWSYes · mentions 1.34.0Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
25
Examples that run
100%23 run in a plain check
Exported functions with examples
100%
Documented parameters
95%
Return-value docs
56%
Help pages citing references
0%
Changes in 1.34.0 (Bioconductor 3.23)
  • counts(), logcounts() and other named getters/setters will now raise a warning if i= is specified, rather than silently treating it as the next argument to assay() (usually withDimnames=).

From inst/NEWS.Rd in the release

Repository practices

Bioconductor git repository

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

1 practice detected in the Bioconductor git repository

Continuous integration (1)
Travis CI (config file)

Topics

Maintainer
Davide Risso

Available on

CRANr2uBioconductorautoCRANCOPR

Depended on by (302)

Show 68 packagesHide 68 packages

People

Cite

Cite this package

Run in R for the authors' entry:

citation("SingleCellExperiment")

The package provides a citation file, so citation() returns the authors' own entry.

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 v2026-10-18. 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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