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lisaClust

This is the development version of lisaClust; for the stable release version, see lisaClust.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13

lisaClust: Clustering of Local Indicators of Spatial Association


Bioconductor version: Development (3.24)

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.

Author: Ellis Patrick [aut, cre], Nicolas Canete [aut], Nicholas Robertson [ctb], Alex Qin [ctb], Shreya Rao [ctb], Farhan Ameen [ctb]

Maintainer: Ellis Patrick <ellis.patrick at sydney.edu.au>

Citation (from within R, enter citation("lisaClust")):

Ellis Patrick, Nicolas Canete. lisaClust: lisaClust: Clustering of Local Indicators of Spatial Association. doi:10.18129/B9.bioc.lisaClust, R package version 1.21.0, https://bioconductor.org/packages/lisaClust.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("lisaClust")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("lisaClust")
"Inroduction to lisaClust" HTML R Script
Reference ManualPDF

Details

biocViews CellBasedAssays, SingleCell, Software, Spatial
Version1.21.0
In Bioconductor sinceBioC 3.13 (R-4.1) (5.5 years)
License GPL (>=2)
Depends R (>= 4.1.0)
Imports Rcpp, ggplot2, concaveman, deldir, polyclip, grid, BiocParallel, spatstat.explore, spatstat.geom, BiocGenerics, S4Vectors, methods, stats, dplyr, SingleCellExperiment, SpatialExperiment, SummarizedExperiment, pheatmap, spatstat.random, lifecycle, rlang (>= 1.0.0)
System RequirementsC++17
URLhttps://ellispatrick.github.io/lisaClust/ https://github.com/ellispatrick/lisaClust
Bug Reportshttps://github.com/ellispatrick/lisaClust/issues
See More
Suggests SpatialDatasets, spicyR, tidySpatialExperiment, BiocStyle, knitr, rmarkdown, testthat (>= 3.0.0)
Linking To Rcpp
Enhances
Depends On Me
Imports Me
Suggests Me Statial
Links To Me
Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package lisaClust_1.21.0.tar.gz
Windows Binary (x86_64) lisaClust_1.21.0.zip (64-bit only)
macOS Binary (big-sur-x86_64) lisaClust_1.21.0.tgz
macOS Binary (sonoma-arm64) lisaClust_1.21.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/lisaClust
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/lisaClust
Package Short Url https://bioconductor.org/packages/lisaClust/
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