Generative models for graph data form a rapidly maturing subfield at the intersection of network science and machine learning, aiming to synthesise realistic graph structures that capture the ...
Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...
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