Package: spicyR 1.19.3

Ellis Patrick

spicyR: Spatial analysis of in situ cytometry data

The spicyR package provides a framework for performing inference on changes in spatial relationships between pairs of cell types for cell-resolution spatial omics technologies. spicyR consists of three primary steps: (i) summarizing the degree of spatial localization between pairs of cell types for each image; (ii) modelling the variability in localization summary statistics as a function of cell counts and (iii) testing for changes in spatial localizations associated with a response variable.

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

spicyR_1.19.3.tar.gz
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spicyR.pdf |spicyR.html
spicyR/json (API)

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

Peer review:

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

Datasets:

On BioConductor:spicyR-1.19.0(bioc 3.21)spicyR-1.18.0(bioc 3.20)

singlecellcellbasedassaysspatial

7.88 score 8 stars 1 packages 41 scripts 350 downloads 9 exports 212 dependencies

Last updated 1 days agofrom:1b87dce47c. Checks:OK: 1 NOTE: 4 WARNING: 2. 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-macWARNINGNov 20 2024
R-4.3-winNOTENov 20 2024
R-4.3-macWARNINGNov 20 2024

Exports:bindcolTestconvPairsgetPairwisegetPropsignifPlotspicyspicyBoxPlottopPairs

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

Spatial Linear and Mixed-Effects Modelling with spicyR

Rendered fromspicyR.Rmdusingknitr::rmarkdownon Nov 20 2024.

Last update: 2024-11-13
Started: 2022-11-10