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A package to identify changes in cell state relative to spatial associations

Bioconductor version: Release (3.19)

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>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


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:

Introduction to Statial HTML R Script
Reference Manual PDF


biocViews Classification, SingleCell, Software, Spatial
Version 1.6.0
In Bioconductor since BioC 3.16 (R-4.2) (1.5 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
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Suggests BiocStyle, knitr, testthat (>= 3.0.0), ClassifyR, spicyR, ggsurvfit, lisaClust, survival
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Follow Installation instructions to use this package in your R session.

Source Package Statial_1.6.0.tar.gz
Windows Binary
macOS Binary (x86_64) Statial_1.6.0.tgz
macOS Binary (arm64) Statial_1.6.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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