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Leveraging the molecular signatures of cancer for dynamic network

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dc.contributor.advisorTunçbağ, Nurcan
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.kuauthorAyar, Enes Sefa
dc.contributor.programComputational Sciences and Engineering
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.coverage.spatialİstanbul
dc.date.accessioned2024-11-09T22:43:37Z
dc.date.issued2023
dc.format.extentxii, 61 leaves : illustrations ; 30 cm.
dc.identifier.urihttps://hdl.handle.net/20.500.14288/6064
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.subjectMolecular biology, Data processing
dc.subjectComputational biology
dc.subjectPattern recognition systems
dc.subjectComputational Biology
dc.subjectPattern Recognition, Automated
dc.titleLeveraging the molecular signatures of cancer for dynamic network
dc.typeThesis
dspace.entity.typePublication
local.contributor.kuauthorAyar, Enes Sefa
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