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SingleCellMultiModal

Bioc current

Integrating Multi-modal Single Cell Experiment datasets

v1.24.0 · experiment · Artistic-2.0

Release Lineage

Entered 3.11 · Apr 28, 2020

Current · Requires R 4.6

1.0 In 13 of 49 releases 3.23

Description

SingleCellMultiModal is an ExperimentHub package that serves multiple datasets obtained from GEO and other sources and represents them as MultiAssayExperiment objects. We provide several multi-modal datasets including scNMT, 10X Multiome, seqFISH, CITEseq, SCoPE2, and others. The scope of the package is is to provide data for benchmarking and analysis. To cite, use the 'citation' function and see <https://doi.org/10.1371/journal.pcbi.1011324>.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

41 13 exported

Complexity

2.7 avg / 8 max

Call network

41 nodes / 40 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

3,487

Files

67

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,467 (42.1%)Docs 859 (24.6%)Vignettes 1,161 (33.3%)

API

Exported functions

13

Internal functions

25

Testing & CI

Has tests

No

Test-to-code ratio

0.00

testthat edition

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

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

4.2.0

System requirements

C++ standard

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

13

First release

2020-04-27

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

14

LOC over versions

v3.11: 574 LOCv3.12: 2,460 LOCv3.13: 2,990 LOCv3.14: 3,052 LOCv3.15: 3,052 LOCv3.16: 3,049 LOCv3.17: 3,181 LOCv3.18: 3,490 LOCv3.19: 3,498 LOCv3.20: 3,514 LOCv3.21: 3,478 LOCv3.22: 3,487 LOCv3.23: 3,487 LOC

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

Documentation

Documentation
READMEYes · 360 wordsVignettesYes · dynamicpkgdown siteYesNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
31%

Topics

Depended on by (3)

Bioconductor (3)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SingleCellMultiModal")
Ramos, M., Abadi, A., Argelaguet, R., Eckenrode, K., Geistlinger, L., Righelli, D., Vanderaa, C., & Waldron, L. (2026). SingleCellMultiModal: Integrating Multi-modal Single Cell Experiment datasets (Version 1.24.0) [Computer software]. https://bioconductor.org/packages/SingleCellMultiModal

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 SingleCellMultiModal version 1.24.0 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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