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.


blisa: Cell-cell communication using Bivariate Local Indicator of Spatial Autocorrelation

blisa implements functionalities to study cell-cell communication in spatial transcriptomics experiments using bivariate local indicator of spatial autocorrelation.

Install development version from GitHub

library(devtools)   
devtools::install_github("ChenLaboratory/blisa")

Reference manual

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install.packages("blisa")

1.0.0 by Yunshun Chen, 3 months ago


https://github.com/ChenLaboratory/blisa, https://chenlaboratory.github.io/blisa/


Report a bug at https://github.com/ChenLaboratory/blisa/issues


Browse source code at https://github.com/cran/blisa


Authors: Yunshun Chen [aut, cre] , Lei Qin [aut] , Lizhong Chen [aut]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports sf, spdep, fastLISA, Matrix, SpatialExperiment, SummarizedExperiment, ComplexHeatmap, ggplot2, viridisLite, grid

Suggests knitr, rmarkdown


See at CRAN