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smoothclust

This is the released version of smoothclust; for the devel version, see smoothclust.

All Bioconductor versions of smoothclust

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19

smoothclust

Bioconductor version: 3.23 · Package version: 1.8.1

Method for identification of spatial domains and spatially-aware clustering in spatial transcriptomics data. The method generates spatial domains with smooth boundaries by smoothing gene expression profiles across neighboring spatial locations, followed by unsupervised clustering. Spatial domains consisting of consistent mixtures of cell types may then be further investigated by applying cell type compositional analyses or differential analyses.

Author: Lukas M. Weber [aut, cre] ORCID iD ORCID: 0000-0002-3282-1730

Maintainer: Lukas M. Weber <weberlm3 at gmail.com>

DOI: 10.18129/B9.bioc.smoothclust

Citation

From within R, enter citation("smoothclust"):

Lukas M. Weber. smoothclust: smoothclust. doi:10.18129/B9.bioc.smoothclust, R package version 1.8.1, https://bioconductor.org/packages/smoothclust.

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("smoothclust")

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

Details

Version1.8.1
LicenseMIT + file LICENSE
URLhttps://github.com/lmweber/smoothclust
Bug Reportshttps://github.com/lmweber/smoothclust/issues
Last updated2026-07-14
In Bioconductor sinceBioC 3.19 (R-4.4) (2 years)
Downloads rank2111 of 2,418
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsClustering, GeneExpression, SingleCell, Software, Spatial, Transcriptomics
Package Short Url https://bioconductor.org/packages/smoothclust/

Documentation

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

browseVignettes("smoothclust")
Smoothclust Tutorial HTML R Script
Reference ManualPDF
NEWSText

Download

Follow the installation instructions to use this package in your R session.

Source packagesmoothclust_1.8.1.tar.gz
Windows binary (x86_64)smoothclust_1.8.1.zip
macOS binary (arm64)smoothclust_1.8.1.tgz
macOS binary (x86_64)smoothclust_1.8.1.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/smoothclust
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/smoothclust
Package Downloads ReportDownload Stats
Old Source Packages for BioC 3.23Source Archive
Dependencies

Depends: R (>= 4.4.0)

Imports: SpatialExperiment, SummarizedExperiment, BiocNeighbors, Matrix, methods, utils

Suggests: BiocStyle, knitr, STexampleData, scuttle, scran, scater, ggspavis, testthat