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A Bayesian normal-multinomial mixture model with the Markov random field (circled by solid lines) is fitted for histology-based spatial domain identification. Based on the spatial domain identification results, biologically important cellular spatial organization can be characterized, including the domain-specific relative abundance of cell types and interactive zones (circled by dotted lines).

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