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

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Yu Zhuo
Yu Zhuo on 17 Jun 2020
Answered: Star Strider on 19 Jun 2020
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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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
Good morning,
Please see attached data. I tried to make things easier.
I attached one .csv file which contains 'Dataset', 'Time', 'Dose', 'compartment', 'observation' columns. There are 3 different numbers under 'Dataset' column. Time are time in hour. 'Dose' was given at different time points to compartment1. 'Compartment' seperated out different series of experimental data ('observation'), which corresponds to the ODEs I have written above. I have 2 series of observations which are shown under 'observation' column.
Please note that the time for dosing or for those 2 series of observations are different.
My problem is how to write ofv and do next parameter optimization. Thanks in advance!
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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