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A robust, scalable K-statistic for quantifying immune cell clustering in spatial proteomics data
Spatial summary statistics based on point process theory are widely used to quantify the spatial organization of cell populations in single-cell spatial proteomics data. Among these, Ripley's K is a popular metric for assessing whether cells are spatially clustered or are randomly dispersed. However
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