Team:ETH Zurich/Modeling/Analysis
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Revision as of 14:41, 17 September 2011
System Analysis |
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Sensitivity Analysis
Sensitivity analysis is a technique that studies the change of the output (or any observable) of a certain function with variation of a certain parameter. It gives as an overview how sensitive the model is with respect to the parameter, i.e. what the impact of the parameter is. The sensitivity is defined as a partial differential equation of the observable with respect to a certain parameter.
Since we consider the sensing molecules (acetaldehyde and unbound xylene) as a parameters in our models, we did sensitivity analysis with respect to acetaldehyde or xylene. For different input concentrations we monitored the change in the GFP output (dGFP/dAcetaldehyde or dGFP/dXylene.
For the acetaldehyde model, it can be seen from the figure below that the sensitivity is highest when GFP rises. For the peak itself (at [AA] = 1000uM), the sensitivity drops down and then rises again once GFP concentration starts decreasing. This tells us that the GFP concentration level is most sensitive to acetaldehyde at those acetaldehyde concentrations when GFP rises and falls.
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