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  "Package": "scSpatialSIM",
  "Title": "A Point Pattern Simulator for Spatial Cellular Data",
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  "Description": "Single cell resolution data has been valuable in learning\nabout tissue microenvironments and interactions between cells\nor spots. This package allows for the simulation of this level\nof data, be it single cell or ‘spots’, in both a univariate\n(single metric or cell type) and bivariate (2 or more metrics\nor cell types) ways. As more technologies come to marker, more\nmethods will be developed to derive spatial metrics from the\ndata which will require a way to benchmark methods against each\nother. Additionally, as the field currently stands, there is\nnot a gold standard method to be compared against. We set out\nto develop an R package that will allow users to simulate point\npatterns that can be biologically informed from different\ntissue domains, holes, and varying degrees of\nclustering/colocalization. The data can be exported as spatial\nfiles and a summary file (like 'HALO').\n<https://github.com/FridleyLab/scSpatialSIM/>.",
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  "Date/Publication": "2026-02-16 17:32:58 UTC",
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      "title": "Get Spatial Files from a 'SpatSimObj'",
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      "title": "Generate Cell Positivity",
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      "title": "Generate Characteristic Distributions of Cells",
      "topics": [
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    },
    {
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    {
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