Advancing graph-based computational approaches to decipher omic signatures of diseases
Material type: TextPublication details: New Delhi : IIIT-Delhi, ©2022Description: xvii, 145 p. : ill. ; 30 cmSubject(s): DDC classification:- REF CB 2022
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|
Thesis | IIITD Reference | Biology | REF CB 2022 (Browse shelf(Opens below)) | Not for loan | TH0118 |
Total holds: 0
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