Genome-scale prediction of context-specific synthetic lethality beyond protein interaction networks
SLxGO, a network-independent machine learning framework that predicts SL interactions directly from semantic representations of Gene Ontology annotations encoded via BioBERT-derived embeddings, is developed, establishing a comprehensive, genome-scale resource for context-specific vulnerability mapping across the human...