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Reconstructing Kinetic Models for Dynamical Studies of Metabolism using Generative Adversarial Networks
Subham Choudhury, View ORCID ProfileMichael Moret, View ORCID ProfilePierre Salvy, View ORCID ProfileDaniel Weilandt, View ORCID ProfileVassily Hatzimanikatis, View ORCID ProfileLjubisa Miskovic
doi: https://doi.org/10.1101/2022.01.06.475020
Subham Choudhury
1Laboratory of Computational Systems Biology (LCSB), Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland
Michael Moret
1Laboratory of Computational Systems Biology (LCSB), Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland
Pierre Salvy
1Laboratory of Computational Systems Biology (LCSB), Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland
Daniel Weilandt
1Laboratory of Computational Systems Biology (LCSB), Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland
Vassily Hatzimanikatis
1Laboratory of Computational Systems Biology (LCSB), Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland
Ljubisa Miskovic
1Laboratory of Computational Systems Biology (LCSB), Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland

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Posted January 11, 2022.
Reconstructing Kinetic Models for Dynamical Studies of Metabolism using Generative Adversarial Networks
Subham Choudhury, Michael Moret, Pierre Salvy, Daniel Weilandt, Vassily Hatzimanikatis, Ljubisa Miskovic
bioRxiv 2022.01.06.475020; doi: https://doi.org/10.1101/2022.01.06.475020
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