SplineDV
This is the released version of SplineDV; for the devel version, see SplineDV.
All Bioconductor versions of SplineDV
3.24 (devel), 3.23 (release), 3.22, 3.21
Differential Variability (DV) analysis for single-cell RNA sequencing data. (e.g. Identify Differentially Variable Genes across two experimental conditions)
Bioconductor version: 3.23 · Package version: 1.4.0
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.
Author: Shreyan Gupta [aut, cre] 
, James Cai [aut]
Maintainer: Shreyan Gupta <xenon8778 at tamu.edu>
Citation
From within R, enter citation("SplineDV"):
Shreyan Gupta, James Cai. SplineDV: Differential Variability (DV) analysis for single-cell RNA sequencing data. (e.g. Identify Differentially Variable Genes across two experimental conditions). doi:10.18129/B9.bioc.SplineDV, R package version 1.4.0, https://bioconductor.org/packages/SplineDV.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("SplineDV")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 1.4.0 |
| License | GPL-2 |
| URL | https://github.com/Xenon8778/SplineDV |
| Bug Reports | https://github.com/Xenon8778/SplineDV/issues |
| Last updated | 2026-04-28 |
| In Bioconductor since | BioC 3.21 (R-4.5) (1 year) |
| Downloads rank | 2083 of 2,418 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | DifferentialExpression, FeatureExtraction, GeneExpression, RNASeq, Sequencing, SingleCell, Software, Transcriptomics |
| Package Short Url | https://bioconductor.org/packages/SplineDV/ |
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SplineDV")| Introduction to Spline-DV | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Download
Follow the installation instructions to use this package in your R session.
| Source package | SplineDV_1.4.0.tar.gz |
| Windows binary (x86_64) | SplineDV_1.4.0.zip |
| macOS binary (arm64) | SplineDV_1.4.0.tgz |
| macOS binary (x86_64) | SplineDV_1.4.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/SplineDV |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/SplineDV |
| Package Downloads Report | Download Stats |
Dependencies
Depends: R (>= 3.5.0)
Imports: plotly, dplyr, scuttle, methods, Biobase, BiocGenerics, S4Vectors, sparseMatrixStats, SingleCellExperiment, SummarizedExperiment, Matrix (>= 1.6.4), utils
Suggests: knitr, DelayedMatrixStats, rmarkdown, BiocStyle, ggplot2, ggpubr, MASS, scales, scRNAseq, testthat (>= 3.0.0)