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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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Principais autores: Gabriele Tazza, Francesco Moro, Dario Ruggeri, Bas Teusink, László Vidács
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier 2025-01-01
Serier:Computational and Structural Biotechnology Journal
Fag:
Hybrid model
Machine learning
Flux balance analysis
Multi-omics
Genome-scale metabolic modeling
Neural-networks
Online adgang:http://www.sciencedirect.com/science/article/pii/S2001037025003265
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