Integrating SNP Dimensionality Reduction and Bootstrapped k‐NN Imputation for Cognitive Function Prediction in AD‐BXD Mice

The proposed model effectively utilized the genetically diverse AD-BXD population for cognitive function prediction. Bootstrapped k-NN imputation addressed missing data challenges, and SNP dimensionality reduction significantly enhanced predictive performance. Findings from feature importance analysis demonstrate the potential for identifying meaningful patterns and biomarkers to further AD-related research.