Difference between revisions of "Deterministic vs. Stochastic Models"
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=The Two Equations Used to Model Gene Expression= | =The Two Equations Used to Model Gene Expression= | ||
<b>Determinisic</b> <br> | <b>Determinisic</b> <br> | ||
| − | 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. | + | 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. |
| − | + | <br> | |
| − | |||
[[Image:Protein_level_effects_(vs_determinisitic_equations).png| 500 px]] | [[Image:Protein_level_effects_(vs_determinisitic_equations).png| 500 px]] | ||
| − | + | <br> | |
| − | <b>Stochastic</b> <br> | + | <b>Stochastic</b> |
| + | <br> | ||
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. | 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. | ||
Example (2) | Example (2) | ||
[[elowitz]] | [[elowitz]] | ||
Revision as of 01:35, 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.
Example (2)
elowitz
