Systematic detection of predictive gene sets by semantics-based selection
The findings demonstrate that Gene Ontology can be effectively leveraged for semantics-aware gene selection in clinical machine learning and offers a scalable strategy to uncover new, testable biological hypotheses–revealing gene functions that might otherwise remain hidden when examining only broadly selected gene combinations.