1. Shodhganga@INFLIBNET
  2. Indraprastha Institute of Information Technology, Delhi (IIIT-Delhi)
  3. Department of Computational Biology
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/347338
Title: Prediction of high risk cancer patients using clinical factors and expression profile of apoptosis regulators
Researcher: Arora, Chakit
Guide(s): Raghava, Gajendra P S
Keywords: Apoptosis
Cancer
Cancer--Patients
Cell death
Clinical Medicine
Clinical Pre Clinical and Health
Primary Health Care
University: Indraprastha Institute of Information Technology, Delhi (IIIT-Delhi)
Completed Date: 2021
Abstract: file attached
Pagination: 151 p.
URI: http://hdl.handle.net/10603/347338
Appears in Departments:Department of Computational Biology

Files in This Item:
File Description SizeFormat 
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
Show full item record


Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Altmetric Badge: