Evaluating molecular representations in machine learning models for drug response prediction and interpretability
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Machine learning (ML) is increasingly being used to guide drug discovery processes. When applying ML approaches to chemical datasets, molecular descriptors and fingerprints are typically used to represent compounds as numerical vectors. However, in recent year... ...
