Deterministic Parallel Global Parameter Estimation for a Model of the Budding Yeast Cell Cycle

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dc.contributor.authorPanning, Thomas D.en
dc.contributor.authorWatson, Layne T.en
dc.contributor.authorAllen, Nicholas A.en
dc.contributor.authorChen, Katherine C.en
dc.contributor.authorShaffer, Clifford A.en
dc.contributor.authorTyson, John J.en
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2013-06-19T14:36:06Zen
dc.date.available2013-06-19T14:36:06Zen
dc.date.issued2006en
dc.description.abstractTwo parallel deterministic direct search algorithms are used to find improved parameters for a system of differential equations designed to simulate the cell cycle of budding yeast. Comparing the model simulation results to experimental data is difficult because most of the experimental data is qualitative rather than quantitative. An algorithm to convert simulation results to mutant phenotypes is presented. Vectors of parameters defining the differential equation model are rated by a discontinuous objective function. Parallel results on a 2200 processor supercomputer are presented for a global optimization algorithm, DIRECT, a local optimization algorithm, MADS, and a hybrid of the two.en
dc.format.mimetypeapplication/pdfen
dc.identifierhttp://eprints.cs.vt.edu/archive/00000730/en
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00000730/01/JGO06.pdfen
dc.identifier.trnumberTR-06-01en
dc.identifier.urihttp://hdl.handle.net/10919/20202en
dc.language.isoenen
dc.publisherDepartment of Computer Science, Virginia Polytechnic Institute & State Universityen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectParallel computationen
dc.titleDeterministic Parallel Global Parameter Estimation for a Model of the Budding Yeast Cell Cycleen
dc.typeTechnical reporten
dc.type.dcmitypeTexten

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