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RegionalST

Bioc current

Investigating regions of interest and performing regional cell type-specific analysis with spatial transcriptomics data

v1.10.0 · Package record · software · GPL-3

Release Lineage

Entered 3.18 · Oct 25, 2023

Current · Requires R 4.6

1.0 In 6 of 49 releases 3.23

Description

This package analyze spatial transcriptomics data through cross-regional cell type-specific analysis. It selects regions of interest (ROIs) and identifys cross-regional cell type-specific differential signals. The ROIs can be selected using automatic algorithm or through manual selection. It facilitates manual selection of ROIs using a shiny application.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

29 16 exported

Complexity

3.7 avg / 12 max

Call network

29 nodes / 28 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

3,287

Files

66

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,881 (57.2%)Tests 76 (2.3%)Docs 855 (26%)Vignettes 475 (14.5%)

API

Exported functions

16

Internal functions

13

Recent export changes

v3.20+1 GetCellTypeSpecificDE_withProp

Testing

Has tests

Yes

Test-to-code ratio

0.04

testthat edition

3

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

–

Unsafe pattern score

63

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.3.0

System requirements

–

C++ standard

–

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

6

First release

2023-12-01

Latest release

2026-04-28

Avg cadence

181 days

Cold removal rate

–

Dep drift

1

LOC over versions

v3.18: 2,939 LOCv3.19: 2,939 LOCv3.20: 3,285 LOCv3.21: 3,287 LOCv3.22: 3,287 LOCv3.23: 3,287 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 · 891 wordsVignettesYes · 1 · dynamicNEWSYesCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
21
Examples that run
90%19 run in a plain check · 2 hold no code
Exported functions with examples
100%
Documented parameters
98%
Return-value docs
100%
Help pages citing references
14%
Vignettes (1)

Repository practices

Bioconductor git repository

Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.

No development-tooling practices detected in the Bioconductor git repository.

Datasets

Bundled datasets · 5
NameClassSizeAlso in
exampleReslist3 elementsNo other package
example_sce–––
pathways_hallmarklist50 elementsNo other package
pathways_kegglist186 elementsNo other package
pathways_reactomelist1,635 elementsNo other package

All of RegionalST's data objects

Topics

Maintainer
Ziyi Li

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RegionalST")
Li, Z. (2026). RegionalST: Investigating regions of interest and performing regional cell type-specific analysis with spatial transcriptomics data (Version 1.10.0) [Computer software]. https://bioconductor.org/packages/RegionalST

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 RegionalST version 1.10.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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