1158-Optimizing Cellular Neighbor Preference Analysis
This research provides a comprehensive evaluation of computational methods used to analyze neighbor preference (NEP) in spatial biology. By deconstructing various tools like histoCAT, Squidpy, and Giotto, the authors identify a common three-step framework consisting of neighborhood definition, quantification, and scoring. The study reveals that many existing methods struggle to distinguish between subtle tissue architectures or fail to accurately capture directional cellular interactions. To address these limitations, the researchers introduce COZI, a novel approach using conditional z-scores…
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