scSpatialSIM - A Point Pattern Simulator for Spatial Cellular Data
Single cell resolution data has been valuable in learning
about tissue microenvironments and interactions between cells
or spots. This package allows for the simulation of this level
of data, be it single cell or ‘spots’, in both a univariate
(single metric or cell type) and bivariate (2 or more metrics
or cell types) ways. As more technologies come to marker, more
methods will be developed to derive spatial metrics from the
data which will require a way to benchmark methods against each
other. Additionally, as the field currently stands, there is
not a gold standard method to be compared against. We set out
to develop an R package that will allow users to simulate point
patterns that can be biologically informed from different
tissue domains, holes, and varying degrees of
clustering/colocalization. The data can be exported as spatial
files and a summary file (like 'HALO').
<https://github.com/FridleyLab/scSpatialSIM/>.
