Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/524752
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dc.coverage.spatialBiosciences Bioengineering
dc.date.accessioned2023-11-10T08:36:21Z-
dc.date.available2023-11-10T08:36:21Z-
dc.identifier.urihttp://hdl.handle.net/10603/524752-
dc.description.abstractAbstract attached newline newline
dc.format.extentNA
dc.languageEnglish
dc.relationNA
dc.rightsuniversity
dc.titleComprehensive proteomics and metabolomics analysis of pituitary tumour to decipher the disease pathobiology and identify surrogate protein markers
dc.title.alternativeNa
dc.creator.researcherBanerjee, Arghya
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Biomedical
dc.description.noteNA
dc.contributor.guideSrivastava, Sanjeeva
dc.publisher.placeMumbai
dc.publisher.universityIndian Institute of Technology Bombay
dc.publisher.institutionBiosciences and Bioengineering
dc.date.registered2017
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensionsNA
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Biosciences and Bioengineering

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01_title.pdfAttached File306.7 kBAdobe PDFView/Open
02_prelimpages.pdf2.22 MBAdobe PDFView/Open
03_abstract.pdf345.07 kBAdobe PDFView/Open
04_contents.pdf8.92 MBAdobe PDFView/Open
05_chapter_1.pdf2.43 MBAdobe PDFView/Open
06_chapter_2.pdf2.79 MBAdobe PDFView/Open
07_chapter_3.pdf2.44 MBAdobe PDFView/Open
08_chapter_4.pdf4.28 MBAdobe PDFView/Open
09_chapter_5.pdf5.58 MBAdobe PDFView/Open
80_recommendation.pdf689.16 kBAdobe PDFView/Open


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