Difference between revisions of "Modeling Stochasticity"
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| − | 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 (Collins ''et. al''., 2003). 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 is necessary in order to generate equations that can model wet lab results. | + | 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 (Collins ''et. al''., 2003). 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 is necessary in order to generate equations that can model wet lab results. |
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Latest revision as of 15:53, 10 December 2007
| In Depth | Modeling of Stochasticity | ||
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Deterministic vs. Stochastic Models
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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 (Collins et. al., 2003). 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 is necessary in order to generate equations that can model wet lab results. | ||
