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.

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 (may not be active yet)
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

Documentation:

Reference manual:	blisa.html , blisa.pdf
Vignettes:	BLISA Workflow (source, R code)

Downloads:

Package source:	blisa_0.2.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): blisa_0.2.0.tgz

Linking:

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