Approximate Reductions of Rational Dynamical Systems in CLUE

Antonio Jiménez-Pastor; Alexander Leguizamon-Robayo; Max Tschaikowski; Andrea Vandin

doi:10.1007/978-3-031-71671-3_9

Approximate Reductions of Rational Dynamical Systems in CLUE

Antonio Jiménez-Pastor, Alexander Leguizamon-Robayo^*, Max Tschaikowski, Andrea Vandin

^*Corresponding author for this work

Aalborg University

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

In life sciences, deriving insights from dynamical systems can be challenging due to the large number of state variables involved. To address this, model reduction techniques can be used to project the system onto a lower-dimensional state space. CLUE is a tool that computes exact reductions for rational systems of ordinary differential equations. In this paper, we present an extension of CLUE to include approximate reductions which allow for larger aggregating power at the expense of a bounded error. Additionally, our extension includes new functionalities such as an interface to the model database ODEBase repository and simulation techniques for exploratory analyses.

Original language	English
Title of host publication	Proceedings of the 22nd International Conference on Computational Methods in Systems Biology
Publisher	Springer
Publication date	2024
Pages	108-116
ISBN (Print)	978-3-031-71670-6
ISBN (Electronic)	978-3-031-71671-3
DOIs	https://doi.org/10.1007/978-3-031-71671-3_9
Publication status	Published - 2024
Event	22nd International Conference on Computational Methods in Systems Biology - Pisa, Italy Duration: 16 Sept 2024 → 18 Sept 2024

Conference

Conference	22nd International Conference on Computational Methods in Systems Biology
Country/Territory	Italy
City	Pisa
Period	16/09/2024 → 18/09/2024

Keywords

Approximate reduction
Dynamical systems
Constrained lumping

Access to Document

10.1007/978-3-031-71671-3_9

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Cite this

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title = "Approximate Reductions of Rational Dynamical Systems in CLUE",

abstract = "In life sciences, deriving insights from dynamical systems can be challenging due to the large number of state variables involved. To address this, model reduction techniques can be used to project the system onto a lower-dimensional state space. CLUE is a tool that computes exact reductions for rational systems of ordinary differential equations. In this paper, we present an extension of CLUE to include approximate reductions which allow for larger aggregating power at the expense of a bounded error. Additionally, our extension includes new functionalities such as an interface to the model database ODEBase repository and simulation techniques for exploratory analyses.",

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Jiménez-Pastor, A, Leguizamon-Robayo, A, Tschaikowski, M & Vandin, A 2024, Approximate Reductions of Rational Dynamical Systems in CLUE. in Proceedings of the 22nd International Conference on Computational Methods in Systems Biology . Springer, pp. 108-116, 22nd International Conference on Computational Methods in Systems Biology , Pisa, Italy, 16/09/2024. https://doi.org/10.1007/978-3-031-71671-3_9

Approximate Reductions of Rational Dynamical Systems in CLUE. / Jiménez-Pastor, Antonio; Leguizamon-Robayo, Alexander; Tschaikowski, Max et al.
Proceedings of the 22nd International Conference on Computational Methods in Systems Biology . Springer, 2024. p. 108-116.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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