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decontX

Bioc current

Decontamination of single cell genomics data

v1.10.0 · software · MIT + file LICENSE

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 contains implementation of DecontX (Yang et al. 2020), a decontamination algorithm for single-cell RNA-seq, and DecontPro (Yin et al. 2023), a decontamination algorithm for single cell protein expression data. DecontX is a novel Bayesian method to computationally estimate and remove RNA contamination in individual cells without empty droplet information. DecontPro is a Bayesian method that estimates the level of contamination from ambient and background sources in CITE-seq ADT dataset and decontaminate the dataset.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

82 7 exported

Complexity

3.3 avg / 17 max

Call network

82 nodes / 37 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

6,715

Files

61

Compiled share

32.9%

Has compiled src

Yes

Language breakdown

R 2,811 (41.9%)C/C++/src 2,210 (32.9%)Tests 219 (3.3%)Docs 1,049 (15.6%)Vignettes 426 (6.3%)

API

Exported functions

10

Internal functions

39

Testing & CI

Has tests

Yes

Test-to-code ratio

0.08

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

25%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.3.0

System requirements

1

C++ standard

C++17

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

6

First release

2023-10-24

Latest release

2026-04-28

Avg cadence

189 days

Cold removal rate

Dep drift

0

LOC over versions

v3.18: 6,843 LOCv3.19: 6,843 LOCv3.20: 6,715 LOCv3.21: 6,715 LOCv3.22: 6,715 LOCv3.23: 6,715 LOC

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

Documentation

Documentation
READMEYes · 99 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
98%
Return-value docs
100%
References docs
6%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("decontX")
Campbell, J., Yajima, M., & Yin, Y. (2026). decontX: Decontamination of single cell genomics data (Version 1.10.0) [Computer software]. https://bioconductor.org/packages/decontX

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 decontX version 1.10.0 [Data set]. HJJB, LLC. Data release v2026-08-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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