Decomposing the parameter space of biological networks via a numerical discriminant approach
Many systems in biology (as well as other physical and engineering systems) can be described by systems of ordinary differential equation containing large numbers of parameters. When studying the dynamic behavior of these large, nonlinear systems, it is useful to identify and characterize the steady...
| Main Authors: | , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Springer Verlag
2020
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