Difference between revisions of "Team:SSHS-Shenzhen/Model"
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| − | Our model is formalized by the Differential Equation: (Logistic Regression)< | + | Our model is formalized by the Differential Equation: (Logistic Regression)</p> |
| − | We've chosen this model as it's often used for modeling the growth and decay of a population. In our condition where we apply our pesticide to the pests, we investigate the underlying factors that affect the relationship between time and the number of deaths. | + | <center> |
| + | <img src= "https://static.igem.org/mediawiki/2018/a/ae/T--SSHS-Shenzhen--Logistic.png" | ||
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| + | We've chosen this model as it's often used for modeling the growth and decay of a population. In our condition where we apply our pesticide to the pests, we investigate the underlying factors that affect the relationship between time and the number of deaths. </p> | ||
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Revision as of 17:58, 5 October 2018
Abstract
Our model is formalized by the Differential Equation: (Logistic Regression)
We've chosen this model as it's often used for modeling the growth and decay of a population. In our condition where we apply our pesticide to the pests, we investigate the underlying factors that affect the relationship between time and the number of deaths.
Assumptions
Parameters
| Parameters | Meaning |
| D(t) | Number of deaths |
| η | RNAi efficiency |
| α | GC content |
| β | Mortality. Mathematically it's the derivative of D. |
Experiments
Results