NSINR: Neuro-symbolic interpretability noise-robust framework for disease ceRNA biomarker prediction
Identifying biomarkers of cancers presents a persistent challenge due to insufficient interpretability in model decision. Current approaches only provide explainability that quantifies the contribution of input features or local substructures to predictions at the data level, yet they fail to uncover the inherent reaso...