OPAC_KOHA catalog › Details for: Analysis of Mycobacterium Fortuitum Proteome using Machine Learning Techniques

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Analysis of Mycobacterium Fortuitum Proteome using Machine Learning Techniques by Shan Ghai

By: Ghai, ShanMaterial type: Text

TextPublication details: Solan Jaypee University of Information Technology 2024Description: 66pSubject(s): BiotechnologyDDC classification: 660 GHA Online resources: Click here to access online

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Item type	Current library	Collection	Call number	Copy number	Status	Notes	Date due	Barcode	Item holds
M.Sc. Dissertation	LRC_JUIT	PROJECT REPORT SECTION	660 GHA (Browse shelf (Opens below))	Copy 1	Not for loan	Guided by Rahul Shrivastava_00277 and Shruti Jain_00195		MSD222411

Total holds: 0

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Previous	660 GAB Biogas Production by Co-digestion of Apple Pomace and Pine Needles	660 GAR Patent Research Analyst: Tasks and Responsibilities	660 GAU Optimization Of L-Arginase Production from Lactobacillus Species	660 GHA Analysis of Mycobacterium Fortuitum Proteome using Machine Learning Techniques	660 GOS Therapeutic potential of Withania somnifera and Celastrus paniculatus	660 GOS Synthesis of curcumin-quercetin loaded chitosan nanoparticles for antimicrobial and anticancer activity	660 GUL Production and Evaluation of Sauerkraut With Enhanced Nutrients	Next

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