Package: smoothclust 1.9.3

Lukas M. Weber

smoothclust: smoothclust

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.

Authors:Lukas M. Weber [aut, cre]

smoothclust_1.9.3.tar.gz
smoothclust_1.9.3.zip(r-4.7)smoothclust_1.9.3.zip(r-4.6)smoothclust_1.9.3.zip(r-4.5)
smoothclust_1.9.3.tgz(r-4.6-any)smoothclust_1.9.3.tgz(r-4.5-any)
smoothclust_1.9.3.tar.gz(r-4.7-any)smoothclust_1.9.3.tar.gz(r-4.6-any)
smoothclust_1.9.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
smoothclust/json (API)

# 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-1.9.1(bioc 3.24)smoothclust-1.8.0(bioc 3.23)

spatial singlecell transcriptomics geneexpression clustering

4.62 score 1 stars 12 scripts 305 downloads 2 exports 60 dependencies

Last updated from:d7b8dc0cc7. Checks:1 WARNING, 7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
bioc-checks	WARNING	248
linux-devel-x86_64	NOTE	381
source / vignettes	OK	370
linux-release-x86_64	NOTE	393
macos-release-arm64	NOTE	298
macos-oldrel-arm64	NOTE	202
windows-devel	NOTE	316
windows-release	NOTE	349
windows-oldrel	NOTE	340
wasm-release	OK	207