Difference between revisions of "Deterministic vs. Stochastic Models"
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<center>[[Noise as a Variable |Next Section in Modeling Stochasticity]] | [[Modeling Stochasticity | Back to Modeling Stochasticity]]</center> | <center>[[Noise as a Variable |Next Section in Modeling Stochasticity]] | [[Modeling Stochasticity | Back to Modeling Stochasticity]]</center> | ||
Revision as of 01:53, 13 November 2007
The Two Equations Used to Model Gene Expression
Determinisic
A deterministic equation uses a rate equation to describe the transcription and translation of genes. Deterministic equations are characterized as behaving predictably, more specifically a single input will consitently produce the same output. Returning to one of the Collins graphs, the blue line represents the deterministic model and the red line represents the stochastic model.
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Stochastic
Stochastic models take into account the "randomness" of transcription and translation by utilizing variables for the formation and decay of single molecules and multi-component complexes.
File:ExamStochastic model 4.png
