Algorithms for discriminating between biochemical reaction network models: Towards systematic experimental design
We develop a methodology for distinguishing between biochemical reaction network models for biological systems modeled by nonlinear ordinary differential equations. We show how to choose the 'best' initial condition direction (the dependent variables, the state) so as to maximize the discr...
| Главные авторы: | , , |
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| Формат: | Conference item |
| Опубликовано: |
2007
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