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lisaClust

This is the released version of lisaClust; for the devel version, see lisaClust.

lisaClust: Clustering of Local Indicators of Spatial Association


Bioconductor version: Release (3.21)

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 shreya.rajeshrao@sydney.edu.au Rao [ctb]

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

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

Installation

To install this package, start R (version "4.5") and enter:

 if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") 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 lisaClustHTMLR Script
Reference ManualPDF

Details

biocViewsCellBasedAssays, SingleCell, Software, Spatial
Version1.16.0
In Bioconductor sinceBioC 3.13 (R-4.1) (4 years)
LicenseGPL (>=2)
DependsR (>= 4.1.0)
Importsggplot2, 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
System Requirements
URLhttps://ellispatrick.github.io/lisaClust/https://github.com/ellispatrick/lisaClust
Bug Reportshttps://github.com/ellispatrick/lisaClust/issues
See More
SuggestsSpatialDatasets, BiocStyle, knitr, rmarkdown, testthat (>= 3.0.0)
Linking To
Enhances
Depends On Me
Imports Me
Suggests MeStatial
Links To Me
Build ReportBuild Report

Package Archives

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

Source PackagelisaClust_1.16.0.tar.gz
Windows Binary (x86_64) lisaClust_1.16.0.zip
macOS Binary (x86_64)lisaClust_1.16.0.tgz
macOS Binary (arm64)lisaClust_1.16.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/lisaClust
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/lisaClust
Bioc Package Browserhttps://code.bioconductor.org/browse/lisaClust/
Package Short Urlhttps://bioconductor.org/packages/lisaClust/
Package Downloads ReportDownload Stats
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