From metabolomics dark matter to bioactivity: a computational framework for prioritizing food-derived bioactive compounds
Despite the growing scale of untargeted food metabolomics, scalable approaches for translating raw LC-MS profiles into functionally prioritized, experimentally testable candidates remain limited. Most detected features remain structurally unresolved, and the few that are annotated cannot be reliably connected to wh...