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SingleR

Bioc current

Reference-Based Single-Cell RNA-Seq Annotation

v2.14.2 · Package record · 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.

Advisories

None published for Bioconductor

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

7,566

Files

65

Compiled share

6%

Has compiled src

Yes

Language breakdown

R 3,221 (42.6%)C/C++/src 451 (6%)Tests 1,757 (23.2%)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

Has tests

Yes

Test-to-code ratio

0.55

testthat edition

–

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 externalC++17

C++ standard

–

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

14

First release

2020-04-08

Latest release

2026-09-10

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: 7,566 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 · 478 wordsVignettesYes · 1 · dynamicNEWSYes · mentions 2.14.2Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
16
Examples that run
100%15 run in a plain check
Exported functions with examples
94%
Documented parameters
88%
Return-value docs
100%
Help pages citing references
13%
Changes in 2.14.2 (Bioconductor 3.23)
  • Bugfix to SingleR() to respect non-default assay.type.ref=.

From inst/NEWS.Rd in the release

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 1 family in the upstream repository

Checks run against github.com/singler-inc/singler on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, and on R-devel

How this is detected·Detection ruleset v3 (2026-09-26)

Topics

Maintainer
Aaron Lun

Available on

CRANr2uBioconductorautoCRANCOPR

Depended on by (9)

Show all 16 packagesHide all 16 packages

People

Cite

Cite this package

Run in R for the authors' entry:

citation("SingleR")

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

It points to 10.1038/s41590-018-0276-y.

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 2.14.2 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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