Package: smoothclust 1.3.4

Lukas M. Weber

smoothclust: smoothclust

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:Lukas M. Weber [aut, cre]

smoothclust_1.3.4.tar.gz
smoothclust_1.3.4.zip(r-4.5)smoothclust_1.3.4.zip(r-4.4)
smoothclust_1.3.4.tgz(r-4.5-any)smoothclust_1.3.4.tgz(r-4.4-any)
smoothclust_1.3.4.tar.gz(r-4.5-noble)smoothclust_1.3.4.tar.gz(r-4.4-noble)
smoothclust_1.3.4.tgz(r-4.4-emscripten)
smoothclust.pdf |smoothclust.html✨
smoothclust/json (API)
NEWS

# Install 'smoothclust' in R:

install.packages('smoothclust', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/lmweber/smoothclust/issues

On BioConductor:smoothclust-1.3.2(bioc 3.21)smoothclust-1.2.2(bioc 3.20)

spatial singlecell transcriptomics geneexpression clustering

4.70 score 1 stars 7 scripts 184 downloads 2 exports 80 dependencies

Last updated 4 days agofrom:ae897d0ecc. Checks:1 OK, 6 NOTE. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Mar 24 2025
R-4.5-win	NOTE	Mar 24 2025
R-4.5-mac	NOTE	Mar 24 2025
R-4.5-linux	NOTE	Mar 24 2025
R-4.4-win	NOTE	Mar 24 2025
R-4.4-mac	NOTE	Mar 24 2025
R-4.4-linux	NOTE	Mar 24 2025