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'))

Peer review:

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

On BioConductor:smoothclust-1.3.0(bioc 3.21)smoothclust-1.2.0(bioc 3.20)

spatialsinglecelltranscriptomicsgeneexpressionclustering

3.74 score 1 stars 7 scripts 184 downloads 2 exports 81 dependencies

Last updated 25 days agofrom:28cfdeca73. Checks:ERROR: 5 OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesFAILNov 04 2024
R-4.5-winERRORNov 05 2024
R-4.5-linuxERRORNov 05 2024
R-4.4-winERRORNov 05 2024
R-4.4-macERRORNov 05 2024
R-4.3-winOKOct 01 2024
R-4.3-macOKOct 01 2024

Exports:smoothclustsmoothness_metric

Dependencies:abindaskpassBiobaseBiocFileCacheBiocGenericsbitbit64blobbootcachemclassclassIntclicpp11crayoncurlDBIdbplyrDelayedArraydeldirdplyre1071fansifastmapfilelockgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesgluehttrIRangesjsonliteKernSmoothlatticelifecyclemagickmagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemimeopensslpillarpkgconfigplogrproxypurrrR6RcpprjsonrlangRSQLites2S4ArraysS4VectorssfSingleCellExperimentspSparseArraysparseMatrixStatsSpatialExperimentspDataspdepstringistringrSummarizedExperimentsystibbletidyrtidyselectUCSC.utilsunitsutf8vctrswithrwkXVectorzlibbioc