This is the released version of Statial; for the devel version, see Statial.
A package to identify changes in cell state relative to spatial associationsBioconductor version: Release (3.21)
Statial is a suite of functions for identifying changes in cell state. The functionality provided by Statial provides robust quantification of cell type localisation which are invariant to changes in tissue structure. In addition to this Statial uncovers changes in marker expression associated with varying levels of localisation. These features can be used to explore how the structure and function of different cell types may be altered by the agents they are surrounded with.
Author: Farhan Ameen [aut, cre], Sourish Iyengar [aut], Shila Ghazanfar [aut], Ellis Patrick [aut]
Maintainer: Farhan Ameen <fame2827 at uni.sydney.edu.au>
Citation (from within R, entercitation("Statial")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("Statial")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Statial")
Details biocViews Classification, SingleCell, Software, Spatial Version 1.10.0 In Bioconductor since BioC 3.16 (R-4.2) (2.5 years) License GPL-3 Depends R (>= 4.1.0) Imports BiocParallel, spatstat.geom, concaveman, data.table, spatstat.explore, dplyr, tidyr, SingleCellExperiment, tibble, stringr, tidyselect, ggplot2, methods, stats, SummarizedExperiment, S4Vectors, plotly, purrr, ranger, magrittr, limma, SpatialExperiment, cluster, treekoR System Requirements URL https://sydneybiox.github.io/Statial https://github.com/SydneyBioX/Statial/issues Bug Reports https://github.com/SydneyBioX/Statial/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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