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scds

Bioc current

In-Silico Annotation of Doublets for Single Cell RNA Sequencing Data

v2.0.0 · Package record · software · MIT + file LICENSE

Release Lineage

Entered 3.9 · May 3, 2019

Current · Requires R 4.6

1.0 In 15 of 49 releases 3.23

Description

In single cell RNA sequencing (scRNA-seq) data combinations of cells are sometimes considered a single cell (doublets). The scds package provides methods to annotate doublets in scRNA-seq data computationally.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

7 3 exported

Complexity

7.4 avg / 20 max

Call network

7 nodes / 5 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

875

Files

21

Compiled share

0%

Has compiled src

No

Language breakdown

R 514 (58.7%)Docs 229 (26.2%)Vignettes 132 (15.1%)

API

Exported functions

3

Internal functions

4

Recent export changes

v3.9+3 bcds, cxds, cxds_bcds_hybrid

Testing

Has tests

No

Test-to-code ratio

0.00

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

3.6.0

System requirements

–

C++ standard

–

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

15

First release

2019-05-02

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

2

LOC over versions

v3.9: 551 LOCv3.10: 789 LOCv3.11: 789 LOCv3.12: 789 LOCv3.13: 789 LOCv3.14: 789 LOCv3.15: 789 LOCv3.16: 789 LOCv3.17: 789 LOCv3.18: 789 LOCv3.19: 789 LOCv3.20: 789 LOCv3.21: 789 LOCv3.22: 875 LOCv3.23: 875 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 · 96 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structuredCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
8
Examples that run
100%3 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

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 · 1
NameClassSizeAlso in
sce_chcl–––

All of scds's data objects

Topics

Maintainer
Dennis Kostka

Available on

CRANr2uBioconductorautoCRANCOPR

Depended on by (1)

Bioconductor (1)

Suggested by (2)

People

Cite

Cite this package

Run in R for the authors' entry:

citation("scds")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1101/564021.

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 scds version 2.0.0 [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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