Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/376583
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dc.coverage.spatial
dc.date.accessioned2022-04-26T12:57:16Z-
dc.date.available2022-04-26T12:57:16Z-
dc.identifier.urihttp://hdl.handle.net/10603/376583-
dc.description.abstractAvailable
dc.format.extent129 p.
dc.languageEnglish
dc.relationReference p. 97-129
dc.rightsuniversity
dc.titleStatistical and machine learning based approaches to precise characterization of cellular phenotypes
dc.title.alternative
dc.creator.researcherGupta, Krishan
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideSengupta, Debarka; Ghosh, Abhik and Ahuja, Gaurav
dc.publisher.placeDelhi
dc.publisher.universityIndraprastha Institute of Information Technology, Delhi (IIIT-Delhi)
dc.publisher.institutionComputer Science and Engineering
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 Computer Science and Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File70.87 kBAdobe PDFView/Open
02_certificate.pdf61.97 kBAdobe PDFView/Open
03_acknowledgement.pdf47.71 kBAdobe PDFView/Open
04_abstract.pdf46.25 kBAdobe PDFView/Open
05_table of content.pdf53.26 kBAdobe PDFView/Open
06_list of tables and figures.pdf120.02 kBAdobe PDFView/Open
07_chapter 1.pdf668.32 kBAdobe PDFView/Open
08_chapter 2.pdf1.36 MBAdobe PDFView/Open
09_chapter 3.pdf884.52 kBAdobe PDFView/Open
10_chapter 4.pdf6.53 MBAdobe PDFView/Open
11_chapter 5.pdf52.1 kBAdobe PDFView/Open
12_references.pdf151.57 kBAdobe PDFView/Open
13_list of publications.pdf47.43 kBAdobe PDFView/Open
80_recommendation.pdf85.62 kBAdobe PDFView/Open


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