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Machine Learning Algorithm Development and Applications in Genome-Wide Association Studies

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dc.contributor.advisorXing, Li
dc.contributor.committeeMemberLiu, Juxin
dc.contributor.committeeMemberLi, Longhai
dc.contributor.committeeMemberSoteros, Chris
dc.creatorGardiner, Kyle
dc.date.accessioned2024-09-17T23:48:21Z
dc.date.copyright2024
dc.date.created2024-11
dc.date.issued2024-09-17
dc.date.submittedNovember 2024
dc.date.updated2024-09-17T23:48:21Z
dc.description.abstract
This item is under an embargo. Access to the abstract will not be permitted until 2027-09-17
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/10388/16049
dc.language.isoen
dc.subjectMachine Learning
dc.subjectGenome-Wide Association Study
dc.subjectBiomarker
dc.subjectEnsemble Learning
dc.subjectCognitive Function
dc.subjectFeature Selection
dc.titleMachine Learning Algorithm Development and Applications in Genome-Wide Association Studies
dc.typeThesis
dc.type.materialtext
local.embargo.lift2027-09-17
local.embargo.terms2027-09-17
thesis.degree.departmentMathematics and Statistics
thesis.degree.disciplineStatistics
thesis.degree.grantorUniversity of Saskatchewan
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.Sc.)

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