A computational method to preclude multistationarity in networks of interacting species
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A computational method to preclude multistationarity in networks of interacting species. / Feliu, Elisenda; Wiuf, Carsten.
I: Bioinformatics, Bind 29, Nr. 18, 2013, s. 2327-2334.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - A computational method to preclude multistationarity in networks of interacting species
AU - Feliu, Elisenda
AU - Wiuf, Carsten
PY - 2013
Y1 - 2013
N2 - Modeling and analysis of complex systems are important aspects of understanding systemic behavior. In the lack of detailed knowledge about a system, we often choose modeling equations out of convenience and search the (high-dimensional) parameter space randomly to learn about model properties. Qualitative modeling sidesteps the issue of choosing specific modeling equations and frees the inference from specific properties of the equations. We consider classes of ODE models arising from interactions of species/entities, such as (bio)chemical reaction networks or ecosystems. A class is defined by imposing mild assumptions on the interaction rates. In this framework, we investigate whether there can be multiple positive steady states in some ODE models in a given class.
AB - Modeling and analysis of complex systems are important aspects of understanding systemic behavior. In the lack of detailed knowledge about a system, we often choose modeling equations out of convenience and search the (high-dimensional) parameter space randomly to learn about model properties. Qualitative modeling sidesteps the issue of choosing specific modeling equations and frees the inference from specific properties of the equations. We consider classes of ODE models arising from interactions of species/entities, such as (bio)chemical reaction networks or ecosystems. A class is defined by imposing mild assumptions on the interaction rates. In this framework, we investigate whether there can be multiple positive steady states in some ODE models in a given class.
U2 - 10.1093/bioinformatics/btt400
DO - 10.1093/bioinformatics/btt400
M3 - Journal article
C2 - 23842805
VL - 29
SP - 2327
EP - 2334
JO - Computer Applications in the Biosciences
JF - Computer Applications in the Biosciences
SN - 1471-2105
IS - 18
ER -
ID: 47449828