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Team:NTNU Trondheim/Modeling
From 2011.igem.org
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Having the observations from the lab | Having the observations from the lab | ||
| - | x = (x<sub>1</sub> , x<sub>2</sub> , · · · · , x<sub>n</sub>) | + | <b>x</b> = (x<sub>1</sub> , x<sub>2</sub> , · · · · , x<sub>n</sub>) |
were x<sub>i</sub> is under condition C = 1 (stress) , and y<sub>j</sub> is under condition C = 0 (no stress). | were x<sub>i</sub> is under condition C = 1 (stress) , and y<sub>j</sub> is under condition C = 0 (no stress). | ||
Revision as of 21:00, 11 July 2011
Modeling
3 types of models: Systems of ODE, Bayesian hierarchy and linear classification problems (LDA or similar). To be continued....
Model Introduction
-What to model
-How to model
The Models
Systems of ODE
Bayesian Hierarchy
We then wish to model the reliability for the observations... That is the probability of false positive/negative results P(RTF = 1|stress)T and opposite. Having the observations from the lab
x = (x1 , x2 , · · · · , xn)
were xi is under condition C = 1 (stress) , and yj is under condition C = 0 (no stress).
Linear Classification
Non-linear Classification
Model Validation
References
