How could I do simutanoues parameter fitting for two series experimental data and multiple datasets?

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I have sets of ODEs and want to fit them for 2 series expermental data simutanouesly.
Basic idea is just like:
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?
  1 Comment
Alex Sha
Alex Sha on 19 Jun 2020
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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Accepted Answer

Star Strider
Star Strider on 19 Jun 2020

More Answers (1)

Alex Sha
Alex Sha on 18 Jun 2020
Hi, post your data please, if possible
Yu Zhuo
Yu Zhuo on 18 Jun 2020
1) Since time points are different for observations in compartment 2 and 3, I am confused if it is approporiate to put NaN in the input matrix for fminsearch or other optimizer?
2) Since there are 3 datasets and different doses were given, I am also confused that how to define a function of dose? and let matlab know which input matrix is for which dataset?
Thanks in advance!

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