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scCB2

Bioc current

CB2 improves power of cell detection in droplet-based single-cell RNA sequencing data

v1.22.0 · software · GPL-3

Release Lineage

Entered 3.12 · Oct 28, 2020

Current · Requires R 4.6

1.0 In 12 of 49 releases 3.23

Description

scCB2 is an R package implementing CB2 for distinguishing real cells from empty droplets in droplet-based single cell RNA-seq experiments (especially for 10x Chromium). It is based on clustering similar barcodes and calculating Monte-Carlo p-value for each cluster to test against background distribution. This cluster-level test outperforms single-barcode-level tests in dealing with low count barcodes and homogeneous sequencing library, while keeping FDR well controlled.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

19 7 exported

Complexity

5.2 avg / 39 max

Call network

19 nodes / 17 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

2,002

Files

27

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,266 (63.2%)Tests 121 (6%)Docs 445 (22.2%)Vignettes 170 (8.5%)

API

Exported functions

7

Internal functions

9

Testing & CI

Has tests

Yes

Test-to-code ratio

0.10

testthat edition

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

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.6.0

System requirements

1

C++ standard

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

12

First release

2020-10-27

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

0

LOC over versions

v3.12: 1,902 LOCv3.13: 1,902 LOCv3.14: 1,902 LOCv3.15: 2,003 LOCv3.16: 2,003 LOCv3.17: 2,002 LOCv3.18: 2,002 LOCv3.19: 2,002 LOCv3.20: 2,002 LOCv3.21: 2,002 LOCv3.22: 2,002 LOCv3.23: 2,002 LOC

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

Documentation

Documentation
READMEYes · 261 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("scCB2")
Ni, Z., Chen, S., & Kendziorski, C. (2026). scCB2: CB2 improves power of cell detection in droplet-based single-cell RNA sequencing data (Version 1.22.0) [Computer software]. https://bioconductor.org/packages/scCB2

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 scCB2 version 1.22.0 [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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