Package: smoothclust 1.3.0

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_1.3.0.tar.gz
smoothclust_1.3.0.zip(r-4.5)smoothclust_1.3.0.zip(r-4.4)smoothclust_1.1.2.zip(r-4.3)
smoothclust_1.3.0.tgz(r-4.4-any)smoothclust_1.1.2.tgz(r-4.3-any)
smoothclust_1.3.0.tar.gz(r-4.5-noble)smoothclust_1.3.0.tar.gz(r-4.4-noble)
smoothclust_1.3.0.tgz(r-4.4-emscripten)smoothclust_1.1.2.tgz(r-4.3-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-1.3.0(bioc 3.21)smoothclust-1.2.0(bioc 3.20)

spatial singlecell transcriptomics geneexpression clustering

4.74 score 1 stars 7 scripts 173 downloads 2 exports 81 dependencies

Last updated 2 months agofrom:28cfdeca73. Checks:OK: 3 NOTE: 4. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Dec 04 2024
R-4.5-win	NOTE	Dec 04 2024
R-4.5-linux	NOTE	Dec 04 2024
R-4.4-win	NOTE	Dec 04 2024
R-4.4-mac	NOTE	Dec 04 2024
R-4.3-win	OK	Oct 01 2024
R-4.3-mac	OK	Oct 01 2024