Package: blisa 0.2.0
blisa: Infer Cell-Cell Communication from Spatial Transcriptomics
Identifies cell-cell communication hotspots in spatial transcriptomics data using bivariate Local Moran's I statistics on hexagonally binned cells. Provides functions for spatial weighting, ligand-receptor pair filtering, hotspot detection, and visualisation of sender-receiver cell-type interactions.
Authors:
blisa_0.2.0.tar.gz
blisa_0.2.0.tar.gz(r-4.7-any)blisa_0.2.0.tar.gz(r-4.6-any)
blisa_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
blisa/json (API)
| # Install 'blisa' in R: |
| install.packages('blisa', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:e20d350a6a. Checks:4 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 244 | ||
| source / vignettes | OK | 240 | ||
| linux-release-x86_64 | OK | 175 | ||
| wasm-release | OK | 163 |
Exports:blisacomputeSpatialWeightsfilterLRpairshexBinCellsis.blisaplotCCIplotCCILRplotCCIspatialplotCCIsummaryplotHotspotsplotLRrankrunCCI
Dependencies:abindaskpassBiobaseBiocFileCacheBiocGenericsbitbit64blobbootcachemcirclizeclassclassIntcliclueclustercodetoolscolorspaceComplexHeatmapcpp11crayoncurlDBIdbplyrDelayedArraydeldirdigestdoParalleldplyre1071farverfastmapfilelockforeachgenericsGenomicRangesGetoptLongggplot2GlobalOptionsgluegtablehttr2IRangesisobanditeratorsKernSmoothlabelinglatticelifecyclemagickmagrittrMASSMatrixMatrixGenericsmatrixStatsmemoiseopensslpillarpkgconfigpngproxypurrrR6rappdirsRColorBrewerRcpprjsonrlangRSQLites2S4ArraysS4VectorsS7scalesSeqinfosfshapeSingleCellExperimentspSparseArraySpatialExperimentspDataspdepstringistringrSummarizedExperimentsystibbletidyrtidyselectunitsutf8vctrsviridisLitewithrwkXVector
