@@ -7,14 +7,14 @@ The manuscript is available as a preprint at doi [10.1101/2024.06.13.597551](htt
...
@@ -7,14 +7,14 @@ The manuscript is available as a preprint at doi [10.1101/2024.06.13.597551](htt
If you use this implementation in your academic projects, please cite this paper.
If you use this implementation in your academic projects, please cite this paper.
# Input variability
# Input variability
Teh code for performing the comparisons between inter- intra- and interobserver variability is provided in the scripts "results_estimatedparameters.m" and "results_inputvars.m".
The code for performing the analysison inter-sequence and intra- and interobserver variability is provided in the scripts `results_estimatedparameters.m ` and `results_inputvars.m `.
Note that the orginal data is not provided here due to ethical restrictions.
Note that the original data is not provided here due to ethical restrictions.
# Sensitivity analysis
# Sensitivity analysis
To perform the sensitivity analysis as described in the Supplementary, run "sensitivityanalysis.m".
To perform the sensitivity analysis as described in the Supplementary, run `sensitivityanalysis.m `.
# Requirements
# Requirements
The code was created with R2023a. Earlier matlab versions might not be compatible with some of the scripts.
The code was created with R2023a. Earlier Matlab versions might not be compatible with some of the scripts.
The model is implemented in the [AMICI toolbox](https://doi.org/10.1093/bioinformatics/btab227) in MATLAB for performing the sensitivity analysis.
The model is implemented in the [AMICI toolbox](https://doi.org/10.1093/bioinformatics/btab227) in MATLAB for performing the sensitivity analysis.
To compile the model, MATLAB 2017b or earlier is needed, but to run the already compiled model any later matlab verison works.
To compile the model, MATLAB 2017b or earlier is needed, but to run the already compiled model any later matlab verison works.