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Knowledge-Based Machine Learning to Extract Disease Mechanisms From Spatial Multi-Omics Data
Multi-omics data provide multi-facitorial molecular information on human disease.
Inputting that data into computational methods that use existing molecular knowledge can identify putative disease mechanisms.
Assessment of these methods via rigorous benchmarks is key to understand their limitations
