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# lisaClust <img src="" align="right" width="200" /> Clustering of Local Indicators of Spatial Association ## Overview **lisaClust** provides a series of functions to identify and visualise regions of tissue where spatial associations between cell-types is similar. This package can be used to provide a high-level summary of cell-type colocalisation in multiplexed imaging data that has been segmented at a single-cell resolution. ## Installation For the Bioconductor release version, run the following. ```r if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("lisaClust") ``` If you would like the most up-to-date features, install the most recent development version. ```r # Install the development version from Bioconductor: if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") # The following initializes usage of Bioc devel # This will update all your Bioconductor packages to devel version BiocManager::install(version='devel') BiocManager::install("lisaClust") # Otherwise install the development version from GitHub: # install.packages("devtools") devtools::install_github("ellispatrick/lisaClust") library(lisaClust) ``` ## Submitting an issue or feature request `listClust` is still under active development. We would greatly appreciate any and all feedback related to the package. * R package related issues should be raised [here]( * For general questions and feedback, please contact us directly via []( ## Authors * **Nicolas Canete** * **Ellis Patrick** - [@TheEllisPatrick]( ## Citation Patrick, E, Canete, NP, Iyengar, SS, Harman, AN, Sutherland, GT, Yang, P. Spatial analysis for highly multiplexed imaging data to identify tissue microenvironments. *Cytometry*. 2023. <>