...MCC). Inter-rater reliability for RIOM grading was excellent (Cohen's kappa = 0.82, 95% CI: 0.73-0.91). Among traditiona...
...MCC = 62% for ML models, combing Random forest + ECFP4 fingerprint. These models were utilized in virtual screening (VS)...
...MCC across sparsity levels and problem sizes, with ablations isolating group shrinkage as the critical modeling ingredie...
...MCC) of 0.64 on Test-46, as well as an AUC of 0.93 and MCC of 0.45 on Test-129. On Test-10 K, PRIMED demonstrates genera...
...MCC = 0.891) and exhibited excellent generalizability (ΔAUC = 0.001). Explainable artificial intelligence analyses ident...
...MCC criterion, enabling it to effectively handle both input and output noise. Furthermore, to mitigate the impact of ker...
...MCC of 0.821, outperforming classic baselines and remaining competitive with recent methods such as PIONet and RMDNet. N...
...MCC of 0.456, accuracy of 82.6%, PPV of 50%, NPV of 91.8%, sensitivity of 63.2%, specificity of 86.7%, and F1-score of 0...
...MCC) of 0.9751, a specificity of 0.9917, and an ROC AUC of 0.9985. Data preparation encompassed missing value imputation...
...MCC). The results shows that GGAR consistently performed better than its existing models models in low learning rate of ...
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