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concordexR

Bioc current

Identify Spatial Homogeneous Regions with concordex

v1.12.0 · software · Artistic-2.0

Release Lineage

Entered 3.17 · Apr 26, 2023

Current · Requires R 4.6

1.0 In 7 of 49 releases 3.23

Description

Spatial homogeneous regions (SHRs) in tissues are domains that are homogenous with respect to cell type composition. We present a method for identifying SHRs using spatial transcriptomics data, and demonstrate that it is efficient and effective at finding SHRs for a wide variety of tissue types. concordex relies on analysis of k-nearest-neighbor (kNN) graphs. The tool is also useful for analysis of non-spatial transcriptomics data, and can elucidate the extent of concordance between partitions of cells derived from clustering algorithms, and transcriptomic similarity as represented in kNN graphs.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

20 0 exported

Complexity

3.3 avg / 9 max

Call network

20 nodes / 10 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

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Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

1,267

Files

28

Compiled share

0%

Has compiled src

No

Language breakdown

R 696 (54.9%)Tests 144 (11.4%)Docs 137 (10.8%)Vignettes 290 (22.9%)

API

Exported functions

2

Internal functions

19

Recent export changes

v3.21+1 runConcordex
v3.20−2 heatConcordex, plotConcordexSim

Testing & CI

Has tests

Yes

Test-to-code ratio

0.21

testthat edition

3

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

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

4.5.0

System requirements

C++ standard

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

7

First release

2023-04-25

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

100%

Dep drift

11

LOC over versions

v3.17: 972 LOCv3.18: 972 LOCv3.19: 972 LOCv3.20: 1,200 LOCv3.21: 1,251 LOCv3.22: 1,267 LOCv3.23: 1,267 LOC

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

Documentation

Documentation
READMEYes · 263 wordsVignettesYes · dynamicpkgdown siteYesNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
50%
Return-value docs
100%
References docs
0%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("concordexR")
Jackson, K., Booeshaghi, A. S., Galvez-Merchan, A., Kim, A., Luebbert, L., Moses, L., & Pachter, L. (2026). concordexR: Identify Spatial Homogeneous Regions with concordex (Version 1.12.0) [Computer software]. https://bioconductor.org/packages/concordexR

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 concordexR version 1.12.0 [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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