Skip to content

scTensor

Bioc current

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

v2.22.0 · Package record · 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.

Advisories

None published for Bioconductor

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.

Loading call graph…

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

Has tests

Yes

Test-to-code ratio

0.02

testthat edition

–

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

In the Bioconductor 3.23 release
READMENoVignettesYes · 5 · dynamicNEWSYes · 0% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
15includes a package overview page
Examples that run
100%14 run in a plain check (1 of them under a condition)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
20%

Repository practices

Bioconductor git repository

Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.

No development-tooling practices detected in the Bioconductor git repository.

Datasets

Bundled datasets · 5
NameClassSizeAlso in
GermMalematrix242 × 852No other package
labelGermMalevector852 elementsNo other package
mvector10,000 elementsNo other package
tsneGermMalelist7 elementsNo other package
vvector10,000 elementsNo other package

All of scTensor's data objects

Topics

Maintainer
Koki Tsuyuzaki

Available on

CRANr2uBioconductorautoCRANCOPR

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 package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 v2026-10-21. 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