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From Variant to Disease: How V2P Improves Phenotype-Aware Pathogenicity Prediction
Researchers at Mount Sinai Institute introduced Variant-to-Phenotype (V2P), a new machine learning framework that not only predicts whether a genetic variant is harmful but also reasons what kind of disease phenotype it leads to, making variant interpretation more precise and clinically useful. Explosion of Genetic Data and How it Transformed into Computational Approaches for Predicting…
