Difference between revisions of "Modeling Stochasticity"

Revision as of 00:02, 6 December 2007

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 utilized modules in a synthetic device 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 to achieve this goal, however assumptions have to be made before a deterministic models can fit experimental data (Collins et. al., 2005). Most have found that the use of stochastic models are necessary in order to generate equations that can model wet lab results.

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 [[Eukaryotic Models|<span style="color:red">Eukaryotic Models</span>]]
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-|<center> 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.
+|<center> The goal of modeling gene networks is to accurately predict the properties and functions of utilized modules in a synthetic device 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 to achieve this goal, however assumptions have to be made before a deterministic models can fit experimental data (Collins et. al., 2005). Most have found that the use of stochastic models are necessary in order to generate equations that can model wet lab results.
 </center>
 |}