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Parameter Estimation in Biological Cell Cycle Models Using Deterministic Optimization

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dc.contributor.authorZwolak, Jason W.en
dc.contributor.committeecochairWatson, Layne T.en
dc.contributor.committeecochairTyson, John J.en
dc.contributor.committeememberHeath, Lenwood S.en
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2014-03-14T20:32:12Zen
dc.date.adate2002-02-28en
dc.date.available2014-03-14T20:32:12Zen
dc.date.issued2001-10-31en
dc.date.rdate2003-02-28en
dc.date.sdate2002-02-26en
dc.description.abstractCell 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.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-02262002-113508en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-02262002-113508/en
dc.identifier.urihttp://hdl.handle.net/10919/31354en
dc.publisherVirginia Techen
dc.relation.haspartthesis_from_seneca.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectCell Cycle Modelsen
dc.subjectParameter Estimationen
dc.subjectOrdinary Differential Equationsen
dc.titleParameter Estimation in Biological Cell Cycle Models Using Deterministic Optimizationen
dc.typeThesisen
thesis.degree.disciplineComputer Scienceen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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