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:	1.0.0
Imports:	sf, spdep, fastLISA, Matrix, SpatialExperiment, SummarizedExperiment, ComplexHeatmap, ggplot2, viridisLite, grid
Suggests:	knitr, rmarkdown
Published:	2026-07-10
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>
BugReports:	https://github.com/ChenLaboratory/blisa/issues
License:	GPL (≥ 3)
URL:	https://github.com/ChenLaboratory/blisa, https://chenlaboratory.github.io/blisa/
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	blisa results

Documentation:

Reference manual:	blisa.html , blisa.pdf
Vignettes:	Exploring cell-cell interaction with blisa (source)

Downloads:

Package source:	blisa_1.0.0.tar.gz
Windows binaries:	r-devel: blisa_1.0.0.zip, r-release: blisa_1.0.0.zip, r-oldrel: blisa_1.0.0.zip
macOS binaries:	r-release (arm64): blisa_1.0.0.tgz, r-oldrel (arm64): blisa_1.0.0.tgz, r-release (x86_64): blisa_1.0.0.tgz, r-oldrel (x86_64): blisa_1.0.0.tgz
Old sources:	blisa archive

Linking:

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