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SVG

1.0.0

Spatially Variable Genes Detection Methods for Spatial Transcriptomics

0packages depend
1.4Kdownloads / year
46.2%test coverage
13/13checks pass

Overview

About
Maintained by Zaoqu LiuFirst published 2026-02-011 releasesCRAN page ↗GitHub ↗

A unified framework for detecting spatially variable genes (SVGs) in spatial transcriptomics data. This package integrates multiple state-of-the-art SVG detection methods including 'MERINGUE' (Moran's I based spatial autocorrelation), 'Giotto' binSpect (binary spatial enrichment test), 'SPARK-X' (non-parametric kernel-based test), and 'nnSVG' (nearest-neighbor Gaussian processes). Each method is implemented with optimized performance through vectorization, parallelization, and 'C++' acceleration where applicable. Methods are described in Miller et al. (2021) doi:10.1101/gr.271288.120, Dries et al. (2021) doi:10.1186/s13059-021-02286-2, Zhu et al. (2021) doi:10.1186/s13059-021-02404-0, and Weber et al. (2023) doi:10.1038/s41467-023-39748-z.

Install

Health

CRAN checks
13OK
Slowest check: 3.6 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.15
46.2%
Coverage · measured lines
100%
Documentation · exports
6
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-22
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-04-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • ERROR2026-04-09
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 577 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
88%
Documented parameters
100%
Return-value docs
100%
References docs
27%

Downloads

1.4K
CRAN downloads in the past year
Rank #18,601 · ~4/day · ~119/mo
Daily download trend is not available in this view yet.
15730 days
59090 days
1.4K1 year
Compare downloads with other packages →
Also on238 r2u23 autocran

Repository

Repository
0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2026-01-23

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/zaoqu-liu/svg on 2026-08-16.

Continuous integration (1)
GitHub Actions
CRAN release process (1)
cran-comments.md
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
17 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0.0
Imports (6)
parallelstatsutilsmethodsMASSRcpp
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Contributors (1)
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-02-01
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.0.0
Bundled data
198 KB / 1 file
Download size
1.1 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SVG")
Liu, Z., & Contributors, S. (2026). SVG: Spatially Variable Genes Detection Methods for Spatial Transcriptomics (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.SVG

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 SVG version 1.0.0 [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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