To perform sensitivity analysis with the coefficient of variance (CV) for each parameter in MATLAB, you can follow these steps:
- The CV is defined as the ratio of the standard deviation to the mean. You can calculate it for each parameter using the following MATLAB code:
% Assuming 'data' is a matrix where each row represents a set of parameters
% and 'cell_division_rate' is a vector of cell division rates
num_parameters = size(data, 2);
cv_values = zeros(1, num_parameters);
for i = 1:num_parameters
parameter_values = data(:, i);
cv_values(i) = std(parameter_values) / mean(parameter_values);
end
disp('Coefficient of Variance for each parameter:');
disp(cv_values);
You can use the Sensitivity Analyzer app in MATLAB to explore the design space and determine the most influential parameters.
Here’s how you can do it:
- Go to the Apps tab in MATLAB and click on Sensitivity Analyzer.
- Import your parameter sets and cell division rates into the Sensitivity Analyzer.
- Set up the analysis by specifying the parameters and the output (cell division rate).
- Run the sensitivity analysis to evaluate how changes in the parameters affect the cell division rate.
For more detailed guidance, you can refer to the following resources:
I hope this helps.
