Spatial Statistics and Explainable Deep Learning for 3D Cell–Protein Interaction Profiling
A dual-tiered computational framework combining stochastic spatial point-process analysis with explainable deep learning is presented, providing a donor-aware protocol for comparing interpretable spatial summaries, imaging modalities, and held-out explanations.
Iuliia Kurnaeva, A. Maslovskaya
· Big Data and Cognitive Compu... · 0 citations