Package: lisaClust 1.15.6

Ellis Patrick

lisaClust: lisaClust: Clustering of Local Indicators of Spatial Association

lisaClust provides a series of functions to identify and visualise regions of tissue where spatial associations between cell-types is similar. This package can be used to provide a high-level summary of cell-type colocalization in multiplexed imaging data that has been segmented at a single-cell resolution.

Authors:Ellis Patrick [aut, cre], Nicolas Canete [aut], Nicholas Robertson [ctb], Alex Qin [ctb], Shreya [email protected] Rao [ctb]

lisaClust_1.15.6.tar.gz
lisaClust_1.15.6.zip(r-4.5)lisaClust_1.15.6.zip(r-4.4)lisaClust_1.15.6.zip(r-4.3)
lisaClust_1.15.6.tgz(r-4.4-any)lisaClust_1.15.6.tgz(r-4.3-any)
lisaClust_1.15.6.tar.gz(r-4.5-noble)lisaClust_1.15.6.tar.gz(r-4.4-noble)
lisaClust_1.15.6.tgz(r-4.4-emscripten)lisaClust_1.15.6.tgz(r-4.3-emscripten)
lisaClust.pdf |lisaClust.html
lisaClust/json (API)

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

Peer review:

Bug tracker:https://github.com/ellispatrick/lisaclust/issues

On BioConductor:lisaClust-1.15.0(bioc 3.21)lisaClust-1.14.4(bioc 3.20)

singlecellcellbasedassaysspatial

6.52 score 3 stars 37 scripts 275 downloads 8 exports 213 dependencies

Last updated 1 months agofrom:a5842b8284. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-winNOTENov 20 2024
R-4.5-linuxNOTENov 20 2024
R-4.4-winNOTENov 20 2024
R-4.4-macNOTENov 20 2024
R-4.3-winNOTENov 20 2024
R-4.3-macNOTENov 20 2024

Exports:geom_hatchinghatchingPlotinhomLocalKlisalisaClustregionMapscale_regionscale_region_manual

Dependencies:abindannotateAnnotationDbiaskpassbackportsbase64encbdsmatrixbeeswarmBHBiobaseBiocBaseUtilsBiocFileCacheBiocGenericsBiocParallelBiostringsbitbit64bitopsblobbootbroombslibcachemcarcarDataclassClassifyRclassIntclicodetoolscolorspacecommonmarkconcavemancorrplotcowplotcoxmecpp11crayoncurlcytomapperdata.tableDBIdbplyrDelayedArraydeldirDerivdigestdoBydplyre1071EBImageevaluatefansifarverfastmapfftwtoolsfilelockfontawesomeformatRFormulafsfutile.loggerfutile.optionsgenefiltergenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggbeeswarmggforceggh4xggnewscaleggplot2ggpubrggrepelggsciggsignifggthemesggupsetgluegoftestgridExtragtableHDF5ArrayhighrhtmltoolshtmlwidgetshttpuvhttrIRangesisobandjpegjquerylibjsonliteKEGGRESTKernSmoothknitrlabelinglambda.rlaterlatticelifecyclelme4lmerTestlocfitmagickmagrittrMASSMatrixMatrixGenericsMatrixModelsmatrixStatsmemoisemgcvmicrobenchmarkmimeminqamodelrMultiAssayExperimentmunsellnlmenloptrnnetnnlsnumDerivopensslpbkrtestpheatmappillarpkgconfigplogrplyrpngpolyclippolynompromisesproxypurrrquantregR6rangerrappdirsrasterRColorBrewerRcppRcppEigenRCurlreshape2rhdf5rhdf5filtersRhdf5librjsonrlangrmarkdownRSQLiterstatixs2S4ArraysS4VectorssassscalesscamsfshinyshinydashboardsimpleSegSingleCellExperimentsnowsourcetoolsspSparseArraySparseMSpatialExperimentspatstat.dataspatstat.explorespatstat.geomspatstat.randomspatstat.sparsespatstat.univarspatstat.utilsspicyRstringistringrSummarizedExperimentsurvivalsvglitesvgPanZoomsyssystemfontstensorterratibbletidyrtidyselecttifftinytextweenrUCSC.utilsunitsutf8V8vctrsviporviridisviridisLitewithrwkxfunXMLxtableXVectoryamlzlibbioc

Introduction to Clustering of Local Indicators of Spatial Assocation (LISA) curves

Rendered fromlisaClust.Rmdusingknitr::rmarkdownon Nov 20 2024.

Last update: 2024-10-08
Started: 2021-03-15