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Prediction of PDZ interactions and classifications using structures and machine learning methods

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dc.contributor.advisorKeskin, Özlem
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.kuauthorTümkaya, Tayfun
dc.contributor.programComputational Sciences and Engineering
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.coverage.spatialİstanbul
dc.date.accessioned2024-11-09T22:07:15Z
dc.date.issued2014
dc.format.extentvii, 85 l. : ill. 30 cm.
dc.identifier.urihttps://hdl.handle.net/20.500.14288/4900
dc.keywordsProtein structure prediction
dc.keywordsPDZ domains
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.subjectProteins, Structure
dc.subjectProteins, Classification
dc.titlePrediction of PDZ interactions and classifications using structures and machine learning methods
dc.typeThesis
dspace.entity.typePublication
local.contributor.kuauthorTümkaya, Tayfun
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