Combining multi-target regression deep neural networks and kinetic modeling to predict relative fluxes in reaction systems

DOI10.1016/j.ic.2021.104798OpenAlexW3196674040MaRDI QIDQ2051826

Alex Graudenzi, Lucrezia Patruno, Chiara Damiani, Davide Maspero, Francesco Craighero

Publication date: 25 November 2021

Published in: Information and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ic.2021.104798

zbMATH Keywords

Monte Carlo samplingmetabolomicsdeep neural networksmetabolic fluxesODE-based modelling

Mathematics Subject Classification ID

Theory of computing (68Qxx)

Uses Software

• Scikit
• AppliedPredictiveModeling
• Keras

Cites Work

• Applied Predictive Modeling
• Automatic Selection of Methods for Solving Stiff and Nonstiff Systems of Ordinary Differential Equations
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