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Efficient machine learning models for cancer biology

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dc.contributor.advisorGönen, Mehmet
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.kuauthorBektaş, Ayyüce Begüm
dc.contributor.programIndustrial Engineering and Operations Management
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.coverage.spatialİstanbul
dc.date.accessioned2024-11-09T22:22:21Z
dc.date.issued2022
dc.format.extentxviii, 97 leaves : illustrations ; 30 cm
dc.identifier.urihttps://hdl.handle.net/20.500.14288/5155
dc.language.isoeng
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.titleEfficient machine learning models for cancer biology
dc.typeDissertation
dspace.entity.typePublication
local.contributor.kuauthorBektaş, Ayyüce Begüm
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