Please use this identifier to cite or link to this item:
http://localhost:8080/xmlui/handle/123456789/6364
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kour, Bhumandeep | - |
dc.contributor.author | Singh, Anjuvan | - |
dc.contributor.author | Suravajhala, Prashanth N | - |
dc.date.accessioned | 2024-11-13T09:00:09Z | - |
dc.date.available | 2024-11-13T09:00:09Z | - |
dc.date.issued | 2024 | - |
dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/6364 | - |
dc.language.iso | en_US | en_US |
dc.publisher | Lovely Professional University,Phagwara | en_US |
dc.subject | Biology | en_US |
dc.subject | Molecular biology | en_US |
dc.title | In silico analysis for genomic understanding to ascertain impact of diabetes risk in prostate cancer | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Ph.D Thesis |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Final_thesis_Bhumandeep Nov 2024.pdf | 11.46 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.