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
| Maintainer | Ellis Patrick <ellis.patrick@sydney.edu.au> |
| Author | Ellis Patrick [aut, cre], Nicolas Canete [aut], Nicholas Robertson [ctb], Alex Qin [ctb], Shreya shreya.rajeshrao@sydney.edu.au Rao [ctb] |
| License | GPL (>=2) |
| URL | https://ellispatrick.github.io/lisaClust/, https://github.com/ellispatrick/lisaClust |
| Bug Reports | https://github.com/ellispatrick/lisaClust/issues |
| Downloads rank | 352 |
| Source branch | RELEASE_3_23 |
| biocViews | CellBasedAssays, SingleCell, Software, Spatial |
Documentation
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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