Publication:
Identifying functionally important missense mutations in cancer by dynamics-based analysis and predicting pathogenicity/disease category of missense mutations

dc.contributor.advisorGönen, Mehmet
dc.contributor.advisorid0000-0002-2483-075X
dc.contributor.authorSayılgan, Jan Fehmi
dc.contributor.instituteKoç University Graduate School of Sciences and Engineering
dc.contributor.programComputational Sciences and Engineering
dc.contributor.yokid237468
dc.date.accessioned2024-11-09T22:36:15Z
dc.date.issued2021
dc.descriptionxiv, 72 leaves : graphics ; 30 cm.
dc.identifier.urihttps://hdl.handle.net/20.500.14288/5741
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.subjectBioinformatics
dc.subjectCancer
dc.subjectComputational modeling
dc.subjectGenomics
dc.subjectSequential analysis
dc.subjectTumors
dc.subjectCancer genomics
dc.subjectMutual exclusivity
dc.thesis.degreeDoctoral Degree
dc.thesis.grantorİstanbul
dc.titleIdentifying functionally important missense mutations in cancer by dynamics-based analysis and predicting pathogenicity/disease category of missense mutations
dc.typeDissertation
dspace.entity.typePublication
relation.isAdvisorOfThesis848e4b5d-1fb0-4ada-a25a-fabec5de3b81
relation.isAdvisorOfThesis.latestForDiscovery848e4b5d-1fb0-4ada-a25a-fabec5de3b81

Files

Original bundle

Now showing 1 - 1 of 1
Placeholder
Name:
28599.pdf
Size:
16.01 MB
Format:
Adobe Portable Document Format