MINN: A metabolic-informed neural network for integrating omics data into genome-scale metabolic modeling

The understanding of cellular behavior relies on the integration of metabolism and its regulation. Multi-omics data provide a detailed snapshot of the molecular processes underpinning cellular functions and their regulation, describing the current state of the cell. While Machine Learning (ML) model...

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Bibliographic Details

Published in:	Computational and Structural Biotechnology Journal
Main Authors:	Gabriele Tazza, Francesco Moro, Dario Ruggeri, Bas Teusink, László Vidács
Format:	Article
Language:	English
Published:	Elsevier 2025-01-01
Subjects:	Hybrid model Machine learning Flux balance analysis Multi-omics Genome-scale metabolic modeling Neural-networks
Online Access:	http://www.sciencedirect.com/science/article/pii/S2001037025003265