J. Merino

Contrastive alignment transfers proteomic predictive signals to metabolomics data

AugMent, a transfer learning framework that uses contrastive learning to encode proteome information into metabolomic representations, supports that contrastive cross-modal learning alignment can be used for transferring disease-relevant information from deeply characterized molecular datasets to substantially larger c...