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dc.contributor.authorHenderson, Terri Lynn
dc.date.accessioned2014-03-05T16:08:07Z
dc.date.available2014-03-05T16:08:07Z
dc.date.issued2002-05
dc.identifier.otherhenderson_terri_l_200205_ms
dc.identifier.urihttp://purl.galileo.usg.edu/uga_etd/henderson_terri_l_200205_ms
dc.identifier.urihttp://hdl.handle.net/10724/29592
dc.description.abstractPolymerase chain reaction (PCR) is a popular method of detecting the presence of a target gene. A mathematical model is developed based upon the principals of branching processes and confidence intervals for various methods of determining a probability of reproduction are given. The model is tested using simulations based upon the stochastic process of PCR. The model proves to be a valid and useful method for determining the initial copy number of a target, regardless of the size of the copy number.
dc.languageStatistical modeling and analysis of the polymerase chain reaction
dc.publisheruga
dc.rightspublic
dc.subjectPolymerase Chain Reaction
dc.subjectMathematical Model
dc.subjectBranching Process
dc.titleStatistical modeling and analysis of the polymerase chain reaction
dc.typeThesis
dc.description.degreeMS
dc.description.departmentStatistics
dc.description.majorStatistics
dc.description.advisorAnand Vidyashankar
dc.description.committeeAnand Vidyashankar
dc.description.committeeRobert Taylor
dc.description.committeePaul Schliekelman


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