knitr::opts_chunk$set( collapse = TRUE, comment = "#>", crop = NULL, echo = TRUE, fig.width = 3.8, fig.height = 3.8, dpi = 72, out.width = "60%")
SPIAT (Spatial Image Analysis of Tissues) is an R package with a suite of data processing, quality control, visualisation and data analysis tools. SPIAT is compatible with data generated from single-cell spatial proteomics platforms (e.g. OPAL, CODEX, MIBI, cellprofiler). SPIAT reads spatial data in the form of X and Y coordinates of cells, marker intensities and cell phenotypes.
SPIAT includes six analysis modules that allow visualisation, calculation of cell colocalisation, categorisation of the immune microenvironment relative to tumour areas, analysis of cellular neighborhoods, and the quantification of spatial heterogeneity, providing a comprehensive toolkit for spatial data analysis.
An overview of the functions available is shown in the figure below.
knitr::include_graphics("SPIAT-overview.jpg")
SPIAT
r Biocpkg("SPIAT")
is a R
package available via the
Bioconductor repository for packages.
if (!requireNamespace("BiocManager", quietly = TRUE)) { install.packages("BiocManager")} BiocManager::install("SPIAT")
You can also install the latest development version from Github.
if (!requireNamespace("devtools", quietly = TRUE)) { install.packages("devtools")} devtools::install_github("TrigosTeam/SPIAT")
SPIAT
We hope that r Biocpkg("SPIAT")
will be useful for your research.
Please use the following information to cite the package and the overall
approach. Thank you!
## Citation info citation("SPIAT")
AT, YF, TY, ML, JZ, VO, MD are authors of the package code. MD and YF wrote the vignette. AT, YF and TY designed the package.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.