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scTensor

Bioc current

Detection of cell-cell interaction from single-cell RNA-seq dataset by tensor decomposition

v2.22.0 · software · Artistic-2.0

Release Lineage

Entered 3.9 · May 3, 2019

Current · Requires R 4.6

1.0 In 15 of 49 releases 3.23

Description

The algorithm is based on the non-negative tucker decomposition (NTD2) of nnTensor.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

154 2 exported

Complexity

3.6 avg / 71 max

Call network

154 nodes / 191 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

8,635

Files

97

Compiled share

0%

Has compiled src

No

Language breakdown

R 7,000 (81.1%)Tests 109 (1.3%)Docs 688 (8%)Vignettes 838 (9.7%)

API

Exported functions

2

Internal functions

152

Recent export changes

v3.9+3 cellCellSimulate, newCCSParams, convertToNCBIGeneID

Testing & CI

Has tests

Yes

Test-to-code ratio

0.02

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

114

Dep constraint coverage

13.5%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.1.0

System requirements

C++ standard

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

15

First release

2019-09-23

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

100%

Dep drift

3

LOC over versions

v3.9: 11,726 LOCv3.10: 12,347 LOCv3.11: 12,592 LOCv3.12: 13,496 LOCv3.13: 13,496 LOCv3.14: 8,635 LOCv3.15: 8,635 LOCv3.16: 8,635 LOCv3.17: 8,635 LOCv3.18: 8,635 LOCv3.19: 8,635 LOCv3.20: 8,635 LOCv3.21: 8,635 LOCv3.22: 8,635 LOCv3.23: 8,635 LOC

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

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
20%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("scTensor")
Tsuyuzaki, K., & Nishida, K. (2026). scTensor: Detection of cell-cell interaction from single-cell RNA-seq dataset by tensor decomposition (Version 2.22.0) [Computer software]. https://bioconductor.org/packages/scTensor

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 scTensor version 2.22.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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