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StabMap

Bioc current

Stabilised mosaic single cell data integration using unshared features

v1.6.0 · Package record · software · GPL-2

Release Lineage

Entered 3.20 · Oct 30, 2024

Current · Requires R 4.6

1.0 In 4 of 49 releases 3.23

Description

StabMap performs single cell mosaic data integration by first building a mosaic data topology, and for each reference dataset, traverses the topology to project and predict data onto a common embedding. Mosaic data should be provided in a list format, with all relevant features included in the data matrices within each list object. The output of stabMap is a joint low-dimensional embedding taking into account all available relevant features. Expression imputation can also be performed using the StabMap embedding and any of the original data matrices for given reference and query cell lists.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

30 9 exported

Complexity

4.1 avg / 44 max

Call network

30 nodes / 23 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

15,395

Files

61

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,853 (12%)Tests 12,064 (78.4%)Docs 1,025 (6.7%)Vignettes 453 (2.9%)

API

Exported functions

9

Internal functions

17

Recent export changes

v3.20+9 adaptiveKNN, classifyEmbedding, getAdaptiveK +6 more

Testing

Has tests

Yes

Test-to-code ratio

6.51

testthat edition

3

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

–

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.4.0

System requirements

–

C++ standard

–

License

GPL-2

License flags

SPDX valid, OSI approved

History

Versions

4

First release

2024-10-29

Latest release

2026-04-28

Avg cadence

168 days

Cold removal rate

–

Dep drift

0

LOC over versions

v3.20: 15,389 LOCv3.21: 15,389 LOCv3.22: 15,395 LOCv3.23: 15,395 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 · 213 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structuredCitation fileNoWebsiteYes · pkgdown
Help pages
29 (20 internal)
Examples that run
100%9 run in a plain check
Exported functions with examples
100%
Documented parameters
96%
Return-value docs
100%
Help pages citing references
0%

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/sydneybiox/stabmap on 2026-10-18.

Continuous integration (1)
GitHub Actions
Docs source (3)
pkgdown

GitHub Pages site last deployed 2024-10-15 · The repository has a site deploy workflow

pkgdown site last built 2024-10-15

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

Topics

Maintainer
Shila Ghazanfar

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("StabMap")
Ghazanfar, S., Jin, A., & Robertson, N. (2026). StabMap: Stabilised mosaic single cell data integration using unshared features (Version 1.6.0) [Computer software]. https://bioconductor.org/packages/StabMap

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 StabMap version 1.6.0 [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.

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