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TDbasedUFE

Bioc current

Tensor Decomposition Based Unsupervised Feature Extraction

v1.12.0 · Package record · software · GPL-3

Release Lineage

Entered 3.17 · Apr 26, 2023

Current · Requires R 4.6

1.0 In 7 of 49 releases 3.23

Description

This is a comprehensive package to perform Tensor decomposition based unsupervised feature extraction. It can perform unsupervised feature extraction. It uses tensor decomposition. It is applicable to gene expression, DNA methylation, and histone modification etc. It can perform multiomics analysis. It is also potentially applicable to single cell omics data sets.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

11 11 exported

Complexity

2.5 avg / 8 max

Call network

11 nodes / 0 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

1,553

Files

39

Compiled share

0%

Has compiled src

No

Language breakdown

R 500 (32.2%)Tests 60 (3.9%)Docs 445 (28.7%)Vignettes 548 (35.3%)

API

Exported functions

11

Internal functions

0

Testing

Has tests

Yes

Test-to-code ratio

0.12

testthat edition

3

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

–

System requirements

–

C++ standard

–

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

7

First release

2023-04-25

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

0

LOC over versions

v3.17: 1,553 LOCv3.18: 1,553 LOCv3.19: 1,553 LOCv3.20: 1,553 LOCv3.21: 1,553 LOCv3.22: 1,553 LOCv3.23: 1,553 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 · 116 wordsVignettesYes · 2 · dynamicNEWSYes · 100% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
12 (1 internal)includes a package overview page
Examples that run
100%11 run in a plain check
Exported functions with examples
100%
Documented parameters
84%
Return-value docs
100%
Help pages citing references
0%
Vignettes (2)

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/tagtag/tdbasedufe on 2026-10-18.

Docs source (1)
README.Rmd
How this is detected·Detection ruleset v3 (2026-09-26)

Topics

Maintainer
Y-h. Taguchi

Available on

CRANr2uBioconductorautoCRANCOPR

Depended on by (1)

Bioconductor (1)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("TDbasedUFE")
Taguchi, Y. (2026). TDbasedUFE: Tensor Decomposition Based Unsupervised Feature Extraction (Version 1.12.0) [Computer software]. https://bioconductor.org/packages/TDbasedUFE

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 TDbasedUFE version 1.12.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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