Measured (experimental) data is used in order to estimate biological parameters for the models LPL, RMR or TLK using VC. Biological data such as the average number of DSB per cell, FAR (fraction of the activity released) or the surviving fraction must first be preprocessed using the XIO utility code. The VC uses the output files generated by the XIO utility (e.g., pfge.xdat and pfge.radx) to access the biological data. The VC will attempt to fit one or more model parameters to the measured data using non-linear regression techniques. Tutorials 17.1 and 17.2 illustrate the use of the XIO utility code to process ASCII data into a set of .xdat/.radx binary files. Tutorial 18.1 illustrates how to use the measured data in these files to estimate parameters related to the DSB rejoining rate.
MCAT: Specify options related to the optimization algorithm (model calibration) AMP(i): Specifying parameter in the model to adjust (fit) using PFGE (or other) data
Data preprocessing using XIO (Tutorial #17)- Example 17.1 Preprocessing DSB damage (FAR) data.
- Example 17.2 Simultaneously preprocessing FAR and survival data.
Estimating biological parameters using DSB data (Tutorial #18)- Example 18.1 Using measured FAR data to estimate model parameters.
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