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tricycle

Bioc current

tricycle: Transferable Representation and Inference of cell cycle

v1.20.0 · Package record · software · GPL-3

Release Lineage

Entered 3.13 · May 20, 2021

Current · Requires R 4.6

1.0 In 11 of 49 releases 3.23

Description

The package contains functions to infer and visualize cell cycle process using Single Cell RNASeq data. It exploits the idea of transfer learning, projecting new data to the previous learned biologically interpretable space. We provide a pre-learned cell cycle space, which could be used to infer cell cycle time of human and mouse single cell samples. In addition, we also offer functions to visualize cell cycle time on different embeddings and functions to build new reference.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

19 9 exported

Complexity

4.4 avg / 15 max

Call network

19 nodes / 15 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

2,437

Files

40

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,257 (51.6%)Tests 58 (2.4%)Docs 741 (30.4%)Vignettes 381 (15.6%)

API

Exported functions

9

Internal functions

10

Testing

Has tests

Yes

Test-to-code ratio

0.05

testthat edition

–

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

4.0

System requirements

–

C++ standard

–

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

11

First release

2021-05-19

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

1

LOC over versions

v3.13: 2,180 LOCv3.14: 2,353 LOCv3.15: 2,437 LOCv3.16: 2,437 LOCv3.17: 2,437 LOCv3.18: 2,437 LOCv3.19: 2,437 LOCv3.20: 2,437 LOCv3.21: 2,437 LOCv3.22: 2,437 LOCv3.23: 2,437 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 · 56 wordsVignettesYes · 1 · dynamicNEWSYesCitation fileYes · cites a publication
Help pages
12
Examples that run
100%12 run in a plain check
Exported functions with examples
100%
Documented parameters
98%
Return-value docs
100%
Help pages citing references
42%

Repository practices

Upstream repositoryBeta

5 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/hansenlab/tricycle on 2026-10-11.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows

Docs source (2)

GitHub Pages site last deployed 2021-04-05 · The repository has a site deploy workflow

Coverage (1)
Coverage reporting
How this is detected·Detection ruleset v3 (2026-09-26)

Datasets

Bundled datasets · 3
NameClassSizeAlso in
RevelioGeneListlist5 elementsNo other package
neuroRefdata.frame500 × 5No other package
neurosphere_example–––

All of tricycle's data objects

Topics

Maintainer
Shijie Zheng

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' entry:

citation("tricycle")

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

It points to 10.1186/s13059-021-02581-y.

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 tricycle version 1.20.0 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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