Modeling Stochasticity

From GcatWiki
Jump to: navigation, search
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


Image obtained at permission pending

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.

Previous Section | Next Section