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
| Maintainer | Lukas M. Weber <weberlm3@gmail.com> |
| Author | Lukas M. Weber [aut, cre] (ORCID: <https://orcid.org/0000-0002-3282-1730>) |
| License | MIT + file LICENSE |
| URL | https://github.com/lmweber/smoothclust |
| Bug Reports | https://github.com/lmweber/smoothclust/issues |
| Downloads rank | 182 |
| Source branch | RELEASE_3_23 |
| biocViews | Clustering, GeneExpression, SingleCell, Software, Spatial, Transcriptomics |
Documentation
Download
Dependencies
Depends: R (>= 4.4.0)
Imports: SpatialExperiment, SummarizedExperiment, BiocNeighbors, Matrix, methods, utils
Suggests: BiocStyle, knitr, STexampleData, scuttle, scran, scater, ggspavis, testthat