Package: clustSIGNAL 1.5.1

Pratibha Panwar

clustSIGNAL: ClustSIGNAL: a spatial clustering method

clustSIGNAL: clustering of Spatially Informed Gene expression with Neighbourhood Adapted Learning. A tool for adaptively smoothing and clustering gene expression data. clustSIGNAL uses entropy to measure heterogeneity of cell neighbourhoods and performs a weighted, adaptive smoothing, where homogeneous neighbourhoods are smoothed more and heterogeneous neighbourhoods are smoothed less. This not only overcomes data sparsity but also incorporates spatial context into the gene expression data. The resulting smoothed gene expression data is used for clustering and could be used for other downstream analyses.

Authors:Pratibha Panwar [cre, aut, ctb], Boyi Guo [aut], Haowen Zhao [aut], Stephanie Hicks [aut], Shila Ghazanfar [aut, ctb]

clustSIGNAL_1.5.1.tar.gz
clustSIGNAL_1.5.1.zip(r-4.7)clustSIGNAL_1.5.1.zip(r-4.6)clustSIGNAL_1.5.1.zip(r-4.5)
clustSIGNAL_1.5.1.tgz(r-4.6-any)clustSIGNAL_1.5.1.tgz(r-4.5-any)
clustSIGNAL_1.5.1.tar.gz(r-4.7-any)clustSIGNAL_1.5.1.tar.gz(r-4.6-any)
clustSIGNAL_1.5.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
clustSIGNAL/json (API)
NEWS

# Install 'clustSIGNAL' in R:
install.packages('clustSIGNAL', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sydneybiox/clustsignal/issues

Pkgdown/docs site:https://sydneybiox.github.io

Datasets:
  • me_data - Mouse Embryo Data
  • me_expr - Mouse Embryo Data
  • mh_data - Mouse Hypothalamus Data
  • mh_expr - Mouse Hypothalamus Data
  • nnCells - Example data with SpatialExperiment object
  • regXclust - Example data with SpatialExperiment object
  • spe - Example data with SpatialExperiment object

On BioConductor:clustSIGNAL-1.5.0(bioc 3.24)clustSIGNAL-1.4.0(bioc 3.23)

clusteringsoftwaregeneexpressionspatialtranscriptomicssinglecell

5.56 score 6 stars 3 scripts 253 downloads 6 exports 116 dependencies

Last updated from:2e25b688a7. Checks:1 NOTE, 9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksNOTE250
linux-devel-x86_64OK372
source / vignettesOK324
linux-release-x86_64OK369
macos-release-arm64OK244
macos-oldrel-arm64OK282
windows-develOK306
windows-releaseOK245
windows-oldrelOK278
wasm-releaseOK180

Exports:adaptiveSmoothingclustSIGNALentropyMeasureneighbourDetectp1_clusteringp2_clustering

Dependencies:abindaskpassassortheadbase64encbeachmatbeeswarmBHBiobaseBiocFileCacheBiocGenericsBiocNeighborsBiocParallelBiocSingularbitbit64blobblustercachemCairocliclustercodetoolscowplotcpp11curlDBIdbplyrDelayedArraydplyrdqrngfarverfastmapfilelockFNNformatRfutile.loggerfutile.optionsgenericsGenomicRangesggbeeswarmggplot2ggrastrggrepelgluegridExtragtableharmonyhttr2igraphIRangesirlbaisobandjsonlitelabelinglambda.rlatticelifecyclemagickmagrittrMatrixMatrixGenericsmatrixStatsmemoiseopensslpheatmappillarpkgconfigpngpurrrR6raggrappdirsRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppMLRcppProgressRhpcBLASctlrjsonrlangRSpectraRSQLitersvdRtsneS4ArraysS4VectorsS7ScaledMatrixscalesscaterscuttleSeqinfoSingleCellExperimentsitmosnowSparseArraySpatialExperimentstringistringrSummarizedExperimentsyssystemfontstextshapingtibbletidyrtidyselectutf8uwotvctrsviporviridisviridisLitewithrXVector

ClustSIGNAL tutorial

Rendered fromclustSIGNAL.Rmdusingknitr::rmarkdownon Jun 02 2026.

Last update: 2026-06-02
Started: 2024-06-11

Readme and manuals

Help Manual

Help pageTopics
Adaptive smoothingadaptiveSmoothing
ClustSIGNALclustSIGNAL
Example data with SpatialExperiment objectClustSignal_example nnCells regXclust spe
Heterogeneity measureentropyMeasure
Mouse Embryo DatamEmbryo2 me_data me_expr
Mouse Hypothalamus DatamHypothal mh_data mh_expr
Cell neighbourhood detectionneighbourDetect
Initial non-spatial clusteringp1_clustering
Final non-spatial clusteringp2_clustering