Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/347338
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DC FieldValueLanguage
dc.coverage.spatialComputational biology
dc.date.accessioned2021-11-09T11:11:32Z-
dc.date.available2021-11-09T11:11:32Z-
dc.identifier.urihttp://hdl.handle.net/10603/347338-
dc.description.abstractfile attached
dc.format.extent151 p.
dc.languageEnglish
dc.relation-
dc.rightsuniversity
dc.titlePrediction of high risk cancer patients using clinical factors and expression profile of apoptosis regulators
dc.title.alternative-
dc.creator.researcherArora, Chakit
dc.subject.keywordApoptosis
dc.subject.keywordCancer
dc.subject.keywordCancer--Patients
dc.subject.keywordCell death
dc.subject.keywordClinical Medicine
dc.subject.keywordClinical Pre Clinical and Health
dc.subject.keywordPrimary Health Care
dc.description.notereferences p.136-151
dc.contributor.guideRaghava, Gajendra P S
dc.publisher.placeDelhi
dc.publisher.universityIndraprastha Institute of Information Technology, Delhi (IIIT-Delhi)
dc.publisher.institutionDepartment of Computational Biology
dc.date.registered
dc.date.completed2021
dc.date.awarded
dc.format.dimensions-
dc.format.accompanyingmaterialNone
dc.type.degreePh.D.
dc.source.inflibnetINFLIBNET
Appears in Departments:Department of Computational Biology

Files in This Item:
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01_title.pdfAttached File47.72 kBAdobe PDFView/Open
02_certificate.pdf28.8 kBAdobe PDFView/Open
03_declaration.pdf75.8 kBAdobe PDFView/Open
04_acknowledgement.pdf137.8 kBAdobe PDFView/Open
05_abstract.pdf102.7 kBAdobe PDFView/Open
06_content.pdf198.86 kBAdobe PDFView/Open
07_chapter 1.pdf1.82 MBAdobe PDFView/Open
08_chapter 2.pdf1.73 MBAdobe PDFView/Open
09_chapter 3.pdf2.6 MBAdobe PDFView/Open
10_chapter 4.pdf1.66 MBAdobe PDFView/Open
11_chapter 5.pdf1.48 MBAdobe PDFView/Open
12_chapter 6.pdf1.29 MBAdobe PDFView/Open
13_chapter 7.pdf1.7 MBAdobe PDFView/Open
14_appendix.pdf151.46 kBAdobe PDFView/Open
15_references.pdf202.9 kBAdobe PDFView/Open
80_recommendation.pdf224 kBAdobe PDFView/Open


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