Package: smoothclust 1.1.1
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:
smoothclust_1.1.1.tar.gz
smoothclust_1.1.1.zip(r-4.5)smoothclust_1.1.1.zip(r-4.4)smoothclust_1.1.1.zip(r-4.3)
smoothclust_1.1.1.tgz(r-4.4-any)smoothclust_1.1.1.tgz(r-4.3-any)
smoothclust_1.1.1.tar.gz(r-4.5-noble)smoothclust_1.1.1.tar.gz(r-4.4-noble)
smoothclust_1.1.1.tgz(r-4.4-emscripten)smoothclust_1.1.1.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-1.1.1(bioc 3.20)smoothclust-1.0.0(bioc 3.19)
Last updated 2 months agofrom:b5d195cad5
Exports:smoothclustsmoothness_metric
Dependencies:abindaskpassBiobaseBiocFileCacheBiocGenericsbitbit64blobbootcachemclassclassIntclicpp11crayoncurlDBIdbplyrDelayedArraydeldirdplyre1071fansifastmapfilelockgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesgluehttrIRangesjsonliteKernSmoothlatticelifecyclemagickmagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemimeopensslpillarpkgconfigplogrproxypurrrR6RcpprjsonrlangRSQLites2S4ArraysS4VectorssfSingleCellExperimentspSparseArraysparseMatrixStatsSpatialExperimentspDataspdepstringistringrSummarizedExperimentsystibbletidyrtidyselectUCSC.utilsunitsutf8vctrswithrwkXVectorzlibbioc
Readme and manuals
Help Manual
Help page | Topics |
---|---|
smoothclust | smoothclust |
Function for smoothness metric | smoothness_metric |