Polynomial superlevel set representation of the multistationarity region of chemical reaction networks

Abstract In this paper we introduce a new representation for the multistationarity region of a reaction network, using polynomial superlevel sets. The advantages of using this polynomial superlevel set representation over the already existing representations (cylindrical algebraic decompositions, nu...

Full description

Bibliographic Details
Main Authors: AmirHosein Sadeghimanesh, Matthew England
Format: Article
Language:English
Published: BMC 2022-09-01
Series:BMC Bioinformatics
Subjects:
Online Access:https://doi.org/10.1186/s12859-022-04921-6
_version_ 1797998361960251392
author AmirHosein Sadeghimanesh
Matthew England
author_facet AmirHosein Sadeghimanesh
Matthew England
author_sort AmirHosein Sadeghimanesh
collection DOAJ
description Abstract In this paper we introduce a new representation for the multistationarity region of a reaction network, using polynomial superlevel sets. The advantages of using this polynomial superlevel set representation over the already existing representations (cylindrical algebraic decompositions, numeric sampling, rectangular divisions) is discussed, and algorithms to compute this new representation are provided. The results are given for the general mathematical formalism of a parametric system of equations and so may be applied to other application domains.
first_indexed 2024-04-11T10:47:29Z
format Article
id doaj.art-44b8c120d048471ab06048eba588031c
institution Directory Open Access Journal
issn 1471-2105
language English
last_indexed 2024-04-11T10:47:29Z
publishDate 2022-09-01
publisher BMC
record_format Article
series BMC Bioinformatics
spelling doaj.art-44b8c120d048471ab06048eba588031c2022-12-22T04:29:00ZengBMCBMC Bioinformatics1471-21052022-09-0123112610.1186/s12859-022-04921-6Polynomial superlevel set representation of the multistationarity region of chemical reaction networksAmirHosein Sadeghimanesh0Matthew England1Research Centre for Computational Sciences and Mathematical Modelling, Coventry UniversityResearch Centre for Computational Sciences and Mathematical Modelling, Coventry UniversityAbstract In this paper we introduce a new representation for the multistationarity region of a reaction network, using polynomial superlevel sets. The advantages of using this polynomial superlevel set representation over the already existing representations (cylindrical algebraic decompositions, numeric sampling, rectangular divisions) is discussed, and algorithms to compute this new representation are provided. The results are given for the general mathematical formalism of a parametric system of equations and so may be applied to other application domains.https://doi.org/10.1186/s12859-022-04921-6Polynomial superlevel setSteady statesMultistationarityParameter analysis
spellingShingle AmirHosein Sadeghimanesh
Matthew England
Polynomial superlevel set representation of the multistationarity region of chemical reaction networks
BMC Bioinformatics
Polynomial superlevel set
Steady states
Multistationarity
Parameter analysis
title Polynomial superlevel set representation of the multistationarity region of chemical reaction networks
title_full Polynomial superlevel set representation of the multistationarity region of chemical reaction networks
title_fullStr Polynomial superlevel set representation of the multistationarity region of chemical reaction networks
title_full_unstemmed Polynomial superlevel set representation of the multistationarity region of chemical reaction networks
title_short Polynomial superlevel set representation of the multistationarity region of chemical reaction networks
title_sort polynomial superlevel set representation of the multistationarity region of chemical reaction networks
topic Polynomial superlevel set
Steady states
Multistationarity
Parameter analysis
url https://doi.org/10.1186/s12859-022-04921-6
work_keys_str_mv AT amirhoseinsadeghimanesh polynomialsuperlevelsetrepresentationofthemultistationarityregionofchemicalreactionnetworks
AT matthewengland polynomialsuperlevelsetrepresentationofthemultistationarityregionofchemicalreactionnetworks