ISPAT-3D: Spatially Varying Conditional Volumetric Network Estimation for 3D Tumor Imaging
The paper introduces ISPAT-3D, a hierarchical Bayesian framework that leverages 3D multiplexed tissue imaging to model spatially varying, zone-specific cell-type interaction networks, revealing volumetric immune-tumor dynamics and angiogenic remodeling patterns that are undetectable in traditional 2D analyses.