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MoleculeExperiment

Bioc current

Prioritising a molecule-level storage of Spatial Transcriptomics Data

v1.12.0 · software · MIT + file LICENSE

Release Lineage

Entered 3.17 · Apr 26, 2023

Current · Requires R 4.6

1.0 In 7 of 49 releases 3.23

Description

MoleculeExperiment contains functions to create and work with objects from the new MoleculeExperiment class. We introduce this class for analysing molecule-based spatial transcriptomics data (e.g., Xenium by 10X, Cosmx SMI by Nanostring, and Merscope by Vizgen). This allows researchers to analyse spatial transcriptomics data at the molecule level, and to have standardised data formats accross vendors.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

32 15 exported

Complexity

4.1 avg / 14 max

Call network

32 nodes / 46 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

4,481

Files

76

Compiled share

0%

Has compiled src

No

Language breakdown

R 2,400 (53.6%)Tests 608 (13.6%)Docs 914 (20.4%)Vignettes 559 (12.5%)

API

Exported functions

24

Internal functions

17

Recent export changes

v3.19+2 geom_raster_img, subset_by_extent

Testing & CI

Has tests

Yes

Test-to-code ratio

0.25

testthat edition

3

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

Unsafe pattern score

0

Dep constraint coverage

5.6%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

2.10

System requirements

C++ standard

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

7

First release

2023-10-09

Latest release

2026-04-28

Avg cadence

175 days

Cold removal rate

100%

Dep drift

1

LOC over versions

v3.17: 4,155 LOCv3.18: 4,152 LOCv3.19: 4,481 LOCv3.20: 4,481 LOCv3.21: 4,481 LOCv3.22: 4,481 LOCv3.23: 4,481 LOC

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

Documentation

Documentation
READMEYes · 164 wordsVignettesYes · dynamicpkgdown siteYesNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Topics

Depended on by (1)

Bioconductor (1)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MoleculeExperiment")
Ghazanfar, S., Patrick, E., Peters Couto, B. Z., & Robertson, N. (2026). MoleculeExperiment: Prioritising a molecule-level storage of Spatial Transcriptomics Data (Version 1.12.0) [Computer software]. https://bioconductor.org/packages/MoleculeExperiment

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 MoleculeExperiment version 1.12.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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