SPIAT
Spatial Image Analysis of Tissues
Bioconductor version: 3.23 · Package version: 1.14.0
SPIAT (**Sp**atial **I**mage **A**nalysis of **T**issues) is an R package with a suite of data processing, quality control, visualization 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 visualization, calculation of cell colocalization, categorization of the immune microenvironment relative to tumor areas, analysis of cellular neighborhoods, and the quantification of spatial heterogeneity, providing a comprehensive toolkit for spatial data analysis.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("SPIAT") Details
| Maintainer | Yuzhou Feng <yuzhou0610@gmail.com> |
| Author | Anna Trigos [aut] (ORCID: <https://orcid.org/0000-0002-5915-2952>), Yuzhou Feng [aut, cre] (ORCID: <https://orcid.org/0000-0002-2955-4053>), Tianpei Yang [aut], Mabel Li [aut], John Zhu [aut], Volkan Ozcoban [aut], Maria Doyle [aut] |
| License | Artistic-2.0 + file LICENSE |
| URL | https://trigosteam.github.io/SPIAT/ |
| Bug Reports | https://github.com/trigosteam/SPIAT/issues |
| Downloads rank | 294 |
| Source branch | RELEASE_3_23 |
| biocViews | BiomedicalInformatics, CellBiology, Clustering, DataImport, ImmunoOncology, QualityControl, SingleCell, Software, Spatial, Visualization |
Documentation
- Basic analyses with SPIAT
- Characterising tissue structure with SPIAT
- Identifying cellular neighborhood with SPIAT
- Overview of the SPIAT package
- Quality control and visualisation with SPIAT
- Quantifying cell colocalisation with SPIAT
- Reading in data and data formatting in SPIAT
- Spatial heterogeneity with SPIAT
Download
Dependencies
Depends: R (>= 4.2.0), SpatialExperiment (>= 1.8.0)
Imports: apcluster (>= 1.4.7), ggplot2 (>= 3.2.1), gridExtra (>= 2.3), gtools (>= 3.8.1), reshape2 (>= 1.4.3), dplyr (>= 0.8.3), RANN (>= 2.6.1), pracma (>= 2.2.5), dbscan (>= 1.1-5), mmand (>= 1.5.4), tibble (>= 2.1.3), grDevices, stats, utils, vroom, dittoSeq, spatstat.geom, methods, spatstat.explore, raster, sp, SummarizedExperiment, rlang
Suggests: BiocStyle, plotly (>= 4.9.0), knitr, rmarkdown, pkgdown, testthat, graphics, alphahull, Rtsne, umap, ComplexHeatmap, elsa