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README.md
<!-- README.md is generated from README.Rmd. Please edit that file --> <img src="inst/extdata/sosta.png" width="200" align="right"/> # Spatial Omic Structure Analysis <!-- badges: start --> <!-- badges: end --> `sosta` (spatial omics structure analysis) is a framework to reconstruct, characterize and compare spatial structures from spatial omics data. `sosta` builds on existing R packages for spatial analysis such as `spatstat`, `sf` and the [Bioconductor](https://bioconductor.org/) environment by integrating with packages `SpatialExperiment` and `SpatialFeatureExperiment`, which facilitates the implementation of additional custom metrics that fit the needs of users. ## Installation Installation of the latest [Bioconductor version](https://bioconductor.org/packages/sosta) can be done as follows: ``` r if (!requireNamespace("BiocManager")) { install.packages("BiocManager") } BiocManager::install("sosta") ``` You can install the development version of `sosta` from GitHub with: ``` r # install.packages("devtools") devtools::install_github("sgunz/sosta") ``` ## Feedback We are happy to get your feedback. Please send it via email to [Samuel Gunz](https://www.mls.uzh.ch/en/research/robinson/groupmembers/samuel-gunz.html) or open a issue on [GitHub](https://github.com/sgunz/sosta/issues). ## Citation If you use `sosta` please consider citing: > Gunz, Samuel, Helena Lucia Crowell, and Mark D. Robinson. “Analysis of > Anatomical Multi-Cellular Structures from Spatial Omics Data Using > Sosta”, p. 2025.10.13.682065. bioRxiv, 14 Oct. 2025, > <https://doi.org/10.1101/2025.10.13.682065>.