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 (3.21)
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]
Maintainer: Ellis Patrick <ellis.patrick at sydney.edu.au>
citation("lisaClust")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
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 |
Details
| biocViews | CellBasedAssays, SingleCell, Software, Spatial |
| Version | 1.15.0 |
| In Bioconductor since | BioC 3.13 (R-4.1) (3.5 years) |
| License | GPL (>=2) |
| Depends | R (>= 4.0) |
| 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 |
| System Requirements | |
| URL | https://ellispatrick.github.io/lisaClust/ https://github.com/ellispatrick/lisaClust |
| Bug Reports | https://github.com/ellispatrick/lisaClust/issues |
See More
| Suggests | BiocStyle, knitr, rmarkdown, SpatialDatasets |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | Statial, spicyWorkflow |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | lisaClust_1.15.0.tar.gz |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | |
| macOS Binary (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 |