MINN: A METABOLIC-INFORMED NEURAL NETWORK FOR INTEGRATING OMICS DATA INTO GENOME-SCALE METABOLIC MODELING
Gabriele Tazza, Francesco Moro, Dario Ruggeri, Bas Teusink, László Vidács
This study introduces MINN, a metabolic-informed neural network that integrates multi-omics data to predict metabolic fluxes in E. coli, outperforming pure ML and pFBA methods.
Computational and Structural Biotechnology Journal · Jan 1, 2025Peer-reviewedSystems Biology