Modeling Stochasticity

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Home | Origins and Characterization of Stochasticity | Modeling Stochasticity | Manipulation of Stochasticity | Evolved Stochasticity? | Concluding Remarks | Citations




In Depth Modeling of Stochasticity

Deterministic vs. Stochastic Models


Noise as a Variable


Eukaryotic Models


The goal of modeling gene networks is to accurately predict the properties and functions of modules connected and to make dry lab suggestions for optimal design strategies prior to implementation in vivo(). The use of both deterministic and stochastic models have been employed, however assumptions have to be made before a deterministic models can fit experimental data. Most have found that the use of stochastic models are necessary in order to generate functions that can model wet lab results.




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