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DenoIST

Bioc current

DenoIST: Denoising Image-based Spatial Transcriptomics data

v1.0.0 · Package record · software · MIT + file LICENSE

Release Lineage

Entered 3.23 · Apr 29, 2026

Current · Requires R 4.6

1.0 In 1 of 49 releases 3.23

Description

DenoIST identifies and removes contamination in Image-based Spatial Transcriptomics data, using a transposed poisson mixture model with local neighbourhood offsets to infer genes that are likely to be due to neighbourhood contamination rather than endogenous expression.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

4 4 exported

Complexity

11.5 avg / 14 max

Call network

4 nodes / 3 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

1,304

Files

28

Compiled share

0%

Has compiled src

No

Language breakdown

R 698 (53.5%)Tests 178 (13.7%)Docs 282 (21.6%)Vignettes 146 (11.2%)

API

Exported functions

4

Internal functions

0

Recent export changes

v3.23+4 denoist, local_offset_distance_with_background, local_offset_distance_with_background_fast +1 more

Testing

Has tests

Yes

Test-to-code ratio

0.26

testthat edition

–

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

–

System requirements

–

C++ standard

–

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

1

First release

2026-04-28

Latest release

2026-04-28

Avg cadence

–

Cold removal rate

–

Dep drift

0

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 · 489 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
4
Examples that run
100%4 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%
Vignettes (1)

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/aaronkwc/denoist on 2026-10-21.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Datasets

Bundled datasets · 3
NameClassSizeAlso in
example_spe–––
resultlist3 elementsNo other package
tx_subdata.frame10 × 11No other package

All of DenoIST's data objects

Topics

Maintainer
Aaron Kwok

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("DenoIST")
Kwok, A., McCarthy, D., & Shim, H. (2026). DenoIST: DenoIST: Denoising Image-based Spatial Transcriptomics data (Version 1.0.0) [Computer software]. https://bioconductor.org/packages/DenoIST

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 DenoIST version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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