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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.
| Version: | 0.2.0 |
| Imports: | sf, spdep, Matrix, SpatialExperiment, SummarizedExperiment, ComplexHeatmap, ggplot2, viridisLite, grid |
| Suggests: | knitr, rmarkdown |
| Published: | 2026-06-02 |
| DOI: | 10.32614/CRAN.package.blisa |
| Author: | Yunshun Chen [aut, cre], Lei Qin [aut], Lizhong Chen [aut] |
| Maintainer: | Yunshun Chen <yuchen at wehi.edu.au> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | blisa results |
| Reference manual: | blisa.html , blisa.pdf |
| Vignettes: |
BLISA Workflow (source, R code) |
| Package source: | blisa_0.2.0.tar.gz |
| Windows binaries: | r-devel: blisa_0.2.0.zip, r-release: blisa_0.2.0.zip, r-oldrel: blisa_0.2.0.zip |
| macOS binaries: | r-release (arm64): blisa_0.2.0.tgz, r-oldrel (arm64): blisa_0.2.0.tgz, r-release (x86_64): blisa_0.2.0.tgz, r-oldrel (x86_64): blisa_0.2.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.