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ASURAT

Bioc current

Functional annotation-driven unsupervised clustering for single-cell data

v1.16.0 · software · GPL-3 + file LICENSE

Release Lineage

Entered 3.15 · Apr 27, 2022

Current · Requires R 4.6

1.0 In 9 of 49 releases 3.23

Description

ASURAT is a software for single-cell data analysis. Using ASURAT, one can simultaneously perform unsupervised clustering and biological interpretation in terms of cell type, disease, biological process, and signaling pathway activity. Inputting a single-cell RNA-seq data and knowledge-based databases, such as Cell Ontology, Gene Ontology, KEGG, etc., ASURAT transforms gene expression tables into original multivariate tables, termed sign-by-sample matrices (SSMs).

Test coverage

Line coverage

Expression

Tests / Examples

Functions

23 17 exported

Complexity

8.2 avg / 27 max

Call network

23 nodes / 5 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

3,437

Files

51

Compiled share

3.5%

Has compiled src

Yes

Language breakdown

R 1,755 (51.1%)C/C++/src 121 (3.5%)Tests 40 (1.2%)Docs 741 (21.6%)Vignettes 780 (22.7%)

API

Exported functions

17

Internal functions

1

Testing & CI

Has tests

Yes

Test-to-code ratio

0.02

testthat edition

3

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

Unsafe pattern score

0

Dep constraint coverage

8.3%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.0.0

System requirements

C++ standard

License

GPL-3 + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

9

First release

2022-04-26

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

0

LOC over versions

v3.15: 3,437 LOCv3.16: 3,437 LOCv3.17: 3,437 LOCv3.18: 3,437 LOCv3.19: 3,437 LOCv3.20: 3,437 LOCv3.21: 3,437 LOCv3.22: 3,437 LOCv3.23: 3,437 LOC

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

Documentation

Documentation
READMEYes · 86 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 0% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ASURAT")
Iida, K., & Wibisana, J. N. (2026). ASURAT: Functional annotation-driven unsupervised clustering for single-cell data (Version 1.16.0) [Computer software]. https://bioconductor.org/packages/ASURAT

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 ASURAT version 1.16.0 [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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