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smoothclust

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.

Installation

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

BiocManager::install("smoothclust")

Details

MaintainerLukas M. Weber <weberlm3@gmail.com>
AuthorLukas M. Weber [aut, cre] (ORCID: <https://orcid.org/0000-0002-3282-1730>)
LicenseMIT + file LICENSE
URLhttps://github.com/lmweber/smoothclust
Bug Reportshttps://github.com/lmweber/smoothclust/issues
Downloads rank307
Source branchRELEASE_3_23
biocViewsClustering, GeneExpression, SingleCell, Software, Spatial, Transcriptomics

Documentation

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
Dependencies

Depends: R (>= 4.4.0)

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

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