How could I do simutanoues parameter fitting for two series experimental data and multiple datasets?
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Hello,
I have sets of ODEs and want to fit them for 2 series expermental data simutanouesly.
Basic idea is just like:
ODEs:
dadt(1)=-ka*a(1)
dadt(2)=ka*a(1)-ke*a(2)-k23*a(2)+k32*a(3)
dadt(3)=k23*a(2)-k32*a(3)
I have experimental mean data for compartment 2 and 3. Since the different doses were given in compartment1. So I seperated them into different datasets but they should share the same ka,k3,k23,k32.
How should I write the ofv for this case? How should I do parameter optimization next by using fminsearch or other tools?
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Alex Sha
2020-6-19
Just confused about "Dose", "compartment" and "observation", do they correspond to a(1), a(2) and a(3) respectively in your ODE functions?
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