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SingleR

Bioc current

Reference-Based Single-Cell RNA-Seq Annotation

v2.14.1 · software · GPL-3

Release Lineage

Entered 3.10 · Oct 30, 2019

Current · Requires R 4.6

1.0 In 14 of 49 releases 3.23

Description

Performs unbiased cell type recognition from single-cell RNA sequencing data, by leveraging reference transcriptomic datasets of pure cell types to infer the cell of origin of each single cell independently.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

81 25 exported

Complexity

3.9 avg / 16 max

Call network

81 nodes / 86 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

7,554

Files

69

Compiled share

6%

Has compiled src

Yes

Language breakdown

R 3,220 (42.6%)C/C++/src 451 (6%)Tests 1,746 (23.1%)Docs 1,805 (23.9%)Vignettes 332 (4.4%)

API

Exported functions

25

Internal functions

41

Recent export changes

v3.21+1 configureMarkerHeatmap
v3.20+1 plotMarkerHeatmap

Testing & CI

Has tests

Yes

Test-to-code ratio

0.54

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

10%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

System requirements

1

C++ standard

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

14

First release

2020-04-08

Latest release

2026-07-07

Avg cadence

182 days

Cold removal rate

100%

Dep drift

14

LOC over versions

v3.10: 6,464 LOCv3.11: 8,699 LOCv3.12: 7,486 LOCv3.13: 7,971 LOCv3.14: 8,007 LOCv3.15: 8,012 LOCv3.16: 6,967 LOCv3.17: 6,967 LOCv3.18: 7,068 LOCv3.19: 7,068 LOCv3.20: 7,502 LOCv3.21: 7,489 LOCv3.22: 7,520 LOCv3.23: 7,554 LOC

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

Documentation

Documentation
READMEYes · 478 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
88%
Return-value docs
100%
References docs
13%

Topics

Depended on by (15)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SingleR")
Lun, A., Andrews, J., Aran, D., Bunis, D., & Dündar, F. (2026). SingleR: Reference-Based Single-Cell RNA-Seq Annotation (Version 2.14.1) [Computer software]. https://bioconductor.org/packages/SingleR

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 SingleR version 2.14.1 [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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