Package: smoothclust
Version: 1.2.0
Title: smoothclust
Description: Method for segmentation 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.
Authors@R: c(
    person("Lukas M.", "Weber", 
           email = "lmweberedu@gmail.com", 
           role = c("aut", "cre"), 
           comment = c(ORCID = "0000-0002-3282-1730")))
URL: https://github.com/lmweber/smoothclust
BugReports: https://github.com/lmweber/smoothclust/issues
License: MIT + file LICENSE
Encoding: UTF-8
biocViews: Spatial, SingleCell, Transcriptomics, GeneExpression,
        Clustering
Depends: R (>= 4.4.0)
Imports: SpatialExperiment, SummarizedExperiment, sparseMatrixStats,
        spdep, methods, utils
VignetteBuilder: knitr
Suggests: BiocStyle, knitr, STexampleData, scuttle, scran, scater,
        ggspavis, testthat
RoxygenNote: 7.3.2
git_url: https://git.bioconductor.org/packages/smoothclust
git_branch: RELEASE_3_20
git_last_commit: 3b38da4
git_last_commit_date: 2024-10-29
Repository: Bioconductor 3.20
Date/Publication: 2024-10-29
NeedsCompilation: no
Packaged: 2024-10-30 02:57:51 UTC; biocbuild
Author: Lukas M. Weber [aut, cre] (<https://orcid.org/0000-0002-3282-1730>)
Maintainer: Lukas M. Weber <lmweberedu@gmail.com>
Built: R 4.4.2; ; 2024-12-22 10:31:46 UTC; unix
