Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/439582
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2023-01-09T06:12:45Z-
dc.date.available2023-01-09T06:12:45Z-
dc.identifier.urihttp://hdl.handle.net/10603/439582-
dc.description.abstractFile Attached
dc.format.extentxx, 138 p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleMachine Learning Based Techniques to Investigate and Interpret Latent Genome Sequence Patterns for Diverse Signals and Disease Prediction
dc.title.alternative
dc.creator.researcherChandra Mohan, D.
dc.subject.keywordComputer Science
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideRaju, Bhukya
dc.publisher.placeWarangal
dc.publisher.universityNational Institute of Technology Warangal
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registered
dc.date.completed2020
dc.date.awarded2020
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science & Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File49.31 kBAdobe PDFView/Open
02_prelim pages.pdf212.87 kBAdobe PDFView/Open
03_content.pdf109.72 kBAdobe PDFView/Open
04_abstract.pdf52.22 kBAdobe PDFView/Open
05_chapter 1.pdf426.92 kBAdobe PDFView/Open
06_chapter 2.pdf137.19 kBAdobe PDFView/Open
07_chapter 3.pdf1.04 MBAdobe PDFView/Open
08_chapter 4.pdf2.71 MBAdobe PDFView/Open
09_chapter 5.pdf2.36 MBAdobe PDFView/Open
10_chapter 6.pdf439.68 kBAdobe PDFView/Open
11_chapter 7.pdf55.27 kBAdobe PDFView/Open
12_annexure.pdf126.23 kBAdobe PDFView/Open
80_recommendation.pdf98.75 kBAdobe PDFView/Open


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