Bang Chen

LogicFusion: Differentiable Logical Rule Learning for Cancer Driver Gene Identification

Identifying cancer driver genes (CDGs) requires integrating heterogeneous biological networks, each encoding distinct mechanistic insights into tumorigenesis. Existing multi-network methods typically fuse views at the feature level or enforce uniform representations, which obscures network-specific