Parameter Estimation in Biological Cell Cycle Models Using Deterministic Optimization
Cell cycle models used in biology can be very complex. These models have parameters with initially unknown values. The values of the parameters vastly aect the accuracy of the models in representing real biological cells. Typically people search for the best parameters to these models using computer...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Others |
| Published: |
Virginia Tech
2014
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10919/31354 http://scholar.lib.vt.edu/theses/available/etd-02262002-113508/ |
| Summary: | Cell cycle models used in biology can be very complex. These models have parameters
with initially unknown values. The values of the parameters vastly aect the accuracy of the
models in representing real biological cells. Typically people search for the best parameters
to these models using computers only as tools to run simulations. In this thesis methods
and results are described for a computer program that searches for parameters to a series
of related models using well tested algorithms. The code for this program uses ODRPACK
for parameter estimation and LSODAR to solve the dierential equations that comprise the
model. === Master of Science |
|---|