SINDy-CRN: Sparse Identification of Chemical Reaction Networks from Data-Reference-Cited by-同舟云学术

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SINDy-CRN: Sparse Identification of Chemical Reaction Networks from Data

Published:2023-12-13 Issue: Volume: Page:3512-3518
ISSN:
Container-title:2023 62nd IEEE Conference on Decision and Control (CDC)
language:
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Author:

Bhatt Nirav¹,Jayawardhana Bayu²,Plaza Santiago Sánchez-Escalonilla²

Affiliation:

1. Indian Institute of Technology,Department of Biotechnology, Research Center for Data Science and AI (DSAI),Madras,India

2. Engineering and Technology Institute Groningen, University of Groningen,Faculty of Science and Engineering,Groningen,The Netherlands,9747AG

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10383192/10383193/10384032.pdf?arnumber=10384032

Reference22 articles.

1. A network dynamics approach to chemical reaction networks

2. Balanced chemical reaction networks governed by general kinetics;Jayawardhana;20th Mathematical Theory of Networks and Systems,2012

3. A computational framework for a Lyapunov-enabled analysis of biochemical reaction networks

4. Adaptation Mechanisms in Phosphorylation Cycles By Allosteric Binding and Gene Autoregulation

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