Machine Learning Approaches for Target Identification and Validation in Drug Discovery examines the transformative role of machine learning (ML) in enhancing the drug discovery process. The introduction highlights the importance of accurate target identification and validation, while subsequent sections delve into various ML algorithms for predicting potential drug targets based on biological data. Gene prioritization methods are discussed, showcasing how ML can effectively rank disease-associated genes. Additionally, the integration of ML with knowledge graphs is explored, illustrating how...
Machine Learning Approaches for Target Identification and Validation in Drug Discovery examines the transformative role of machine learning (ML) in en...
