Francisco Traquete

Enhancing interpretability in metabolomics: ranking metabolites by their impact on graph neural network predictions

Abstract A key step in the biological interpretation of untargeted metabolomics data is the ranking of compounds by importance, usually using statistical significance or impact on classification as the basis for importance assignment. However, current approaches treat metabolites...