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 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.

Name thesis:degree_name

Master of Science

Level thesis:degree_level

masters

Discipline thesis:degree_discipline

Computer Science

Department dc:contributor.department

Computer Science

Grantor dc:publisher

Virginia Tech

Year dc:date.issued

2001

Author dc:creator

• Zwolak, Jason W.

Chairs dc:contributor.committeechair

• Watson, Layne T.
• Tyson, John J.

Committee member dc:contributor.committeemember

• Heath, Lenwood S.

• Cell Cycle Models
• Parameter Estimation
• Ordinary Differential Equations

Statement dc:rights

• In Copyright

Licence dc:rights.uri

• http://rightsstatements.org/vocab/InC/1.0/

Dc Identifier Other

etd-02262002-113508

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/31354