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

2 次查看(过去 30 天)
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?

采纳的回答

Star Strider
Star Strider 2020-6-19

更多回答(1 个)

Alex Sha
Alex Sha 2020-6-18
Hi, post your data please, if possible
  2 个评论
Yu Zhuo
Yu Zhuo 2020-6-18
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 2020-6-18
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!

请先登录,再进行评论。

类别

Help CenterFile Exchange 中查找有关 Scan Parameter Ranges 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by