Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/421576
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DC FieldValueLanguage
dc.coverage.spatialComputer Science
dc.date.accessioned2022-12-02T05:49:24Z-
dc.date.available2022-12-02T05:49:24Z-
dc.identifier.urihttp://hdl.handle.net/10603/421576-
dc.description.abstractnewline Abstract available
dc.format.extenti-xii, 152p.
dc.languageEnglish
dc.relationNo. of references 209
dc.rightsuniversity
dc.titleMachine learning approaches to cancer prediction using computational profiling of microRNA expressions
dc.title.alternative
dc.creator.researcherSalim, A
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Theory and Methods
dc.subject.keywordEngineering and Technology
dc.subject.keywordHidden Markov Model
dc.subject.keywordmicroRNAs in Cancer
dc.subject.keywordNext Generation Sequencing
dc.subject.keywordRibonucleic Acid
dc.subject.keywordRNA Revolution
dc.subject.keywordSupport Vector Machine
dc.description.noteBibliography p. 140-152, Appendix p. 118-139
dc.contributor.guideVinod Chandra, S S
dc.publisher.placeThiruvananthapuram
dc.publisher.universityUniversity of Kerala
dc.publisher.institutionFaculty of Engineering and Technology
dc.date.registeredn.d.
dc.date.completed2017
dc.date.awardedn.d.
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Engineering and Technology

Files in This Item:
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01_title.pdfAttached File202.43 kBAdobe PDFView/Open
02_prelim pages.pdf2.77 MBAdobe PDFView/Open
03_abstract.pdf1.74 MBAdobe PDFView/Open
04_contents.pdf892.39 kBAdobe PDFView/Open
05_chapter 1.pdf5.72 MBAdobe PDFView/Open
06_chapter 2.pdf8.98 MBAdobe PDFView/Open
07_chapter 3.pdf7.7 MBAdobe PDFView/Open
08_chapter 4.pdf8.4 MBAdobe PDFView/Open
09_chapter 5.pdf6.89 MBAdobe PDFView/Open
10_chapter 6.pdf6.77 MBAdobe PDFView/Open
11_chapter 7.pdf2.53 MBAdobe PDFView/Open
12_annexures.pdf16.73 MBAdobe PDFView/Open
80_recommendation.pdf2.73 MBAdobe PDFView/Open


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