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SplineDV

Bioc current

Differential Variability (DV) analysis for single-cell RNA sequencing data. (e.g. Identify Differentially Variable Genes across two experimental conditions)

v1.4.0 · Package record · software · GPL-2

Release Lineage

Entered 3.21 · Apr 16, 2025

Current · Requires R 4.6

1.0 In 3 of 49 releases 3.23

Description

A spline based scRNA-seq method for identifying differentially variable (DV) genes across two experimental conditions. Spline-DV constructs a 3D spline from 3 key gene statistics: mean expression, coefficient of variance, and dropout rate. This is done for both conditions. The 3D spline provides the “expected” behavior of genes in each condition. The distance of the observed mean, CV and dropout rate of each gene from the expected 3D spline is used to measure variability. As the final step, the spline-DV method compares the variabilities of each condition to identify differentially variable (DV) genes.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

5 5 exported

Complexity

5 avg / 11 max

Call network

5 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

883

Files

16

Compiled share

0%

Has compiled src

No

Language breakdown

R 461 (52.2%)Tests 28 (3.2%)Docs 222 (25.1%)Vignettes 172 (19.5%)

API

Exported functions

5

Internal functions

0

Recent export changes

v3.21+5 DVPlot, HVGPlot, hvgQC +2 more

Testing

Has tests

Yes

Test-to-code ratio

0.06

testthat edition

3

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

–

Unsafe pattern score

0

Dep constraint coverage

8.3%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.5.0

System requirements

–

C++ standard

–

License

GPL-2

License flags

SPDX valid, OSI approved

History

Versions

3

First release

2025-04-15

Latest release

2026-04-28

Avg cadence

189 days

Cold removal rate

–

Dep drift

0

LOC over versions

v3.21: 883 LOCv3.22: 883 LOCv3.23: 883 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 · 1,039 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structuredCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
5
Examples that run
100%5 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Repository practices

Upstream repositoryBeta

Checks run against github.com/xenon8778/splinedv on 2026-10-22.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

Topics

Maintainer
Shreyan Gupta

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' entry:

citation("SplineDV")

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

It points to 10.1038/s41540-025-00507-z.

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 SplineDV version 1.4.0 [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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