Skip to content

SC3

Bioc current

Single-Cell Consensus Clustering

v1.40.0 · Package record · software · GPL-3

Release Lineage

Entered 3.3 · May 4, 2016

Current · Requires R 4.6

1.0 In 21 of 49 releases 3.23

Description

A tool for unsupervised clustering and analysis of single cell RNA-Seq data.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

51 7 exported

Complexity

4.2 avg / 23 max

Call network

51 nodes / 48 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

4,108

Files

61

Compiled share

4.4%

Has compiled src

Yes

Language breakdown

R 2,365 (57.6%)C/C++/src 179 (4.4%)Docs 1,154 (28.1%)Vignettes 410 (10%)

API

Exported functions

24

Internal functions

33

Recent export changes

v3.6−17 sc3.SCESet, sc3_calc_biology.SCESet, sc3_calc_consens.SCESet 14 more

Testing

Has tests

No

Test-to-code ratio

0.00

testthat edition

–

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

–

Unsafe pattern score

0

Dep constraint coverage

9.1%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.3

System requirements

–

C++ standard

–

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

21

First release

2016-05-15

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

100%

Dep drift

11

LOC over versions

v3.3: 2,836 LOCv3.4: 5,155 LOCv3.5: 4,252 LOCv3.6: 4,105 LOCv3.7: 4,097 LOCv3.8: 4,111 LOCv3.9: 4,111 LOCv3.10: 4,111 LOCv3.11: 4,108 LOCv3.12: 4,108 LOCv3.13: 4,108 LOCv3.14: 4,108 LOCv3.15: 4,108 LOCv3.16: 4,108 LOCv3.17: 4,108 LOCv3.18: 4,108 LOCv3.19: 4,108 LOCv3.20: 4,108 LOCv3.21: 4,108 LOCv3.22: 4,108 LOCv3.23: 4,108 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
README· In the Bioconductor git repository, left out of the releaseVignettesYes · 1 · dynamicNEWSYes · 33% structuredCitation fileYes · cites a publication
Help pages
41
Examples that run
100%4 run in a plain check
Exported functions with examples
17%
Documented parameters
100%
Return-value docs
58%
Help pages citing references
0%
Vignettes (1)

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/hemberg-lab/sc3 on 2026-10-18.

Governance and community (1)
Issue templates
Docs source (1)

GitHub Pages site last deployed 2019-12-17

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

Datasets

Bundled datasets · 2
NameClassSizeAlso in
anndata.frame90 × 14 packages
yandata.frame20,214 × 904 packages

All of SC3's data objects

Topics

Maintainer
Vladimir Kiselev

Available on

CRANr2uBioconductorautoCRANCOPR

Depended on by (2)

Bioconductor (2)

People

Cite

Cite this package

Run in R for the authors' entry:

citation("SC3")

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

It points to 10.1038/nmeth.4236.

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 SC3 version 1.40.0 [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.

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