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- Oana-Teodora Chis, Julio R. Banga, Eva Balsa-Canto
- PloS one
- 2011

Analysing the properties of a biological system through in silico experimentation requires a satisfactory mathematical representation of the system including accurate values of the model parameters. Fortunately, modern experimental techniques allow obtaining time-series data of appropriate quality which may then be used to estimate unknown parameters.… (More)

Dynamic models of biochemical networks typically consist of sets of non-linear ordinary differential equations involving states (concentrations or amounts of the components of the network) and parameters describing the reaction kinetics. Unfortunately, in most cases the parameters are completely unknown or only rough estimates of their values are available.… (More)

In this paper we investigate some stochastic models for tumor-immune systems. To describe these models we used a Wiener process, as the noise has a stabilization effect. Their dynamics are studied in terms of stochas-tic stability in the equilibrium points, by constructing the Lyapunov exponent, depending on the parameters that describe the model. We have… (More)

- Oana-Teodora Chis, Alejandro F Villaverde, Julio R Banga, Eva Balsa-Canto
- Mathematical biosciences
- 2016

Dynamic models of biochemical networks are often formulated as sets of non-linear ordinary differential equations, whose states are the concentrations or abundances of the network components. They typically have a large number of kinetic parameters, which must be determined by calibrating the model with experimental data. In recent years it has been… (More)

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