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An Automated Method to Overcome the Difficulty of Building Computational Models

dc.contributor.advisorLopez, Carlos F
dc.creatorGlazer, Bryan
dc.date.accessioned2022-09-21T17:45:21Z
dc.date.available2022-09-21T17:45:21Z
dc.date.created2022-05
dc.date.issued2022-07-21
dc.date.submittedMay 2022
dc.identifier.urihttp://hdl.handle.net/1803/17737
dc.description.abstractComputational models have proven to be effective tools for studying and understanding the complex behavior of cellular biochemical interactions. However, I show that building accurate models is an exceptionally difficult task. To enable researchers to use computational modeling, I present an automated method for building Boolean models with accurate behavior.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.subjectcomputational model
dc.subjectmonte carlo tree search
dc.subjectBoolean model
dc.subject
dc.titleAn Automated Method to Overcome the Difficulty of Building Computational Models
dc.typeThesis
dc.date.updated2022-09-21T17:45:21Z
dc.contributor.committeeMemberHughey, Jacob
dc.contributor.committeeMemberGeorgiev, Ivelin
dc.type.materialtext
thesis.degree.nameMS
thesis.degree.levelMasters
thesis.degree.disciplineBiomedical Informatics
thesis.degree.grantorVanderbilt University Graduate School
dc.creator.orcid0000-0002-0434-7672


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