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lisaClust

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

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

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

Citation (from within R, enter citation("lisaClust")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

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 Manual PDF

Details

biocViews CellBasedAssays, SingleCell, Software, Spatial
Version 1.21.0
In Bioconductor since BioC 3.13 (R-4.1) (5 years)
License GPL (>=2)
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
System Requirements
URL https://ellispatrick.github.io/lisaClust/ https://github.com/ellispatrick/lisaClust
Bug Reports https://github.com/ellispatrick/lisaClust/issues
See More
Suggests SpatialDatasets, BiocStyle, knitr, rmarkdown, testthat (>= 3.0.0)
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Depends On Me
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Build Report Build Report

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
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Source Repository git clone https://git.bioconductor.org/packages/lisaClust
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/lisaClust
Bioc Package Browser https://code.bioconductor.org/browse/lisaClust/
Package Short Url https://bioconductor.org/packages/lisaClust/
Package Downloads Report Download Stats