# lisaClust <img src="https://raw.githubusercontent.com/ellispatrick/lisaClust/master/inst/lisaClust_sticker_ai_upscaled.png" 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](https://github.com/ellispatrick/listClust/issues). * For general questions and feedback, please contact us directly via [[email protected]](mailto:[email protected]). ## Authors * **Nicolas Canete** * **Ellis Patrick** - [@TheEllisPatrick](https://twitter.com/TheEllisPatrick)