Explainable Prototype Booster: Enhancing Latent Representations of Foundation Models for Gene Expression Prediction

The Explainable Prototype Booster is proposed, which incorporates biological prior knowledge to guide the construction and training of learnable prototypes for embedding refinement, thereby improving gene expression prediction and biological interpretability in clinically relevant applications, including cancer biomarker prediction, survival analysis, and drug response prediction.