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Continuous models
The modelling formalisms described in Section 4 above all share the assumption that state variables can be represented in a discrete fashion. In reality, while it is true that, at a given point in time, a gene is either being transcribed or not being transcribed, levels of activation, rates of transcription and product concentrations can all vary in a continuous fashion. This section describes a number of approaches to modelling GRNs in which a continuous representation is used for state variables.
Subsections
- Ordinary Differential Equations
- Neural network models
- Hybrid models
- Spatial models
- Further reading
Nic Geard 2004-05-06