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nnSVG

This is thereleased version of nnSVG; for the devel version, seennSVG.

Scalable identification of spatially variable genes in spatially-resolved transcriptomics data

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DOI: 10.18129/B9.bioc.nnSVG


Bioconductor version: Release (3.22)

Method for scalable identification of spatially variable genes (SVGs) in spatially-resolved transcriptomics data. The method is based on nearest-neighbor Gaussian processes and uses the BRISC algorithm for model fitting and parameter estimation. Allows identification and ranking of SVGs with flexible length scales across a tissue slide or within spatial domains defined by covariates. Scales linearly with the number of spatial locations and can be applied to datasets containing thousands or more spatial locations.

Author: Lukas M. Weber [aut, cre]ORCID iD ORCID: 0000-0002-3282-1730, Stephanie C. Hicks [aut]ORCID iD ORCID: 0000-0002-7858-0231

Maintainer: Lukas M. Weber <lmweb012 at gmail.com>

Citation (from within R, entercitation("nnSVG")):

Installation

To install this package, start R (version "4.5") and enter:

if (!require("BiocManager", quietly = TRUE))    install.packages("BiocManager")BiocManager::install("nnSVG")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("nnSVG")
nnSVG TutorialHTMLR Script
Reference ManualPDF
NEWSText
LICENSEText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsGeneExpression,Preprocessing,SingleCell,Software,Spatial,Transcriptomics
Version1.14.0
In Bioconductor sinceBioC 3.15 (R-4.2) (3.5 years)
LicenseMIT + fileLICENSE
DependsR (>= 4.2)
ImportsSpatialExperiment,SingleCellExperiment,SummarizedExperiment,BRISC,BiocParallel,Matrix,matrixStats, stats, methods
System Requirements
URLhttps://github.com/lmweber/nnSVG
Bug Reportshttps://github.com/lmweber/nnSVG/issues
See More
SuggestsBiocStyle,knitr,rmarkdown,STexampleData,WeberDivechaLCdata,scran,ggplot2,testthat
Linking To
Enhances
Depends On Me
Imports Mespoon, OSTA
Suggests MeSEraster,tpSVG
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackagennSVG_1.14.0.tar.gz
Windows Binary (x86_64) nnSVG_1.14.0.zip
macOS Binary (x86_64)nnSVG_1.14.0.tgz
macOS Binary (arm64)nnSVG_1.14.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/nnSVG
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/nnSVG
Bioc Package Browserhttps://code.bioconductor.org/browse/nnSVG/
Package Short Urlhttps://bioconductor.org/packages/nnSVG/
Package Downloads ReportDownload Stats

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