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Efficient machine learning models for cancer biology

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dc.contributor.advisorGönen, Mehmet
dc.contributor.advisorid0000-0002-2483-075X
dc.contributor.authorBektaş, Ayyüce Begüm
dc.contributor.instituteKoç University Graduate School of Sciences and Engineering
dc.contributor.programIndustrial Engineering and Operations Management
dc.contributor.yokid237468
dc.date.accessioned2024-11-09T22:22:21Z
dc.date.issued2022
dc.descriptionxviii, 97 leaves : illustrations ; 30 cm
dc.identifier.urihttps://hdl.handle.net/20.500.14288/5155
dc.languageEnglish
dc.publisherKoç University
dc.relation.collectionKU Theses and Dissertations
dc.rightsrestrictedAccess
dc.rights.copyrightsnote© All Rights Reserved. Accessible to Koç University Affiliated Users Only!
dc.subjectArtificial intelligence, Medical applications
dc.subjectMachine learning
dc.subjectNeural networks (Computer science)
dc.subjectCancer, Research
dc.subjectCancer, Molecular aspects
dc.subjectCancer, Genetic aspects
dc.subjectCancer cells
dc.subjectNeoplasms, genetics
dc.subjectMolecular biology, Research
dc.thesis.degreeDoctoral Degree
dc.thesis.grantorİstanbul
dc.titleEfficient machine learning models for cancer biology
dc.typeDissertation
dspace.entity.typePublication
relation.isAdvisorOfThesis848e4b5d-1fb0-4ada-a25a-fabec5de3b81
relation.isAdvisorOfThesis.latestForDiscovery848e4b5d-1fb0-4ada-a25a-fabec5de3b81

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