Bioc2026 Registration Open!

lisaClust

lisaClust: Clustering of Local Indicators of Spatial Association

Bioconductor version: 3.23 · Package version: 1.20.0

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 colocalization in multiplexed imaging data that has been segmented at a single-cell resolution.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("lisaClust")

Details

MaintainerEllis Patrick <ellis.patrick@sydney.edu.au>
AuthorEllis Patrick [aut, cre], Nicolas Canete [aut], Nicholas Robertson [ctb], Alex Qin [ctb], Shreya shreya.rajeshrao@sydney.edu.au Rao [ctb]
LicenseGPL (>=2)
URLhttps://ellispatrick.github.io/lisaClust/, https://github.com/ellispatrick/lisaClust
Bug Reportshttps://github.com/ellispatrick/lisaClust/issues
Downloads rank352
Source branchRELEASE_3_23
biocViewsCellBasedAssays, SingleCell, Software, Spatial

Documentation

Download

Dependencies

Depends: R (>= 4.1.0)

Imports: ggplot2, class, concaveman, grid, BiocParallel, spatstat.explore, spatstat.geom, BiocGenerics, S4Vectors, methods, spicyR, purrr, stats, data.table, dplyr, tidyr, SingleCellExperiment, SpatialExperiment, SummarizedExperiment, pheatmap, spatstat.random, lifecycle, simpleSeg, rlang

Suggests: SpatialDatasets, BiocStyle, knitr, rmarkdown, testthat (>= 3.0.0)

Reverse dependencies

Suggests Me (1): Statial