This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see lisaClust.
Bioconductor version: 3.16
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]
Maintainer: Ellis Patrick <ellis.patrick at sydney.edu.au>
Citation (from within R,
enter citation("lisaClust")
):
To install this package, start R (version "4.2") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("lisaClust")
HTML | R Script | Inroduction to lisaClust |
Reference Manual |
biocViews | CellBasedAssays, SingleCell, Software, Spatial |
Version | 1.6.3 |
In Bioconductor since | BioC 3.13 (R-4.1) (2 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 |
LinkingTo | |
Suggests | BiocStyle, knitr, rmarkdown |
SystemRequirements | |
Enhances | |
URL | |
BugReports | https://github.com/ellispatrick/lisaClust/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | lisaClust_1.6.3.tar.gz |
Windows Binary | lisaClust_1.6.3.zip |
macOS Binary (x86_64) | lisaClust_1.6.3.tgz |
macOS Binary (arm64) | lisaClust_1.6.3.tgz |
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 |
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