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Prediction of Memberane Protein Using Pseudo Amino Acid Composition with Physiochemical Properties and Dipeptides / Muhammad Asad

By: Asad, Muhammad Material type: Text

TextPublisher: Islamabad : CEME - NUST, 2017Description: v, 64 p. : ill. ; 30cmSubject(s): Computer Software Engineering - MS ThesisDDC classification: 005.1

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Item type	Current location	Home library	Shelving location	Call number	Status	Date due	Barcode	Item holds
Thesis	Central Library (CL)	Central Library (CL)	Thesis	005.1 (Browse shelf)	Available		CL-T-217

Total holds: 0

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Previous	005.1 Performance analysis of Cloud based Load Testing of Web Application	005.1 Automated Software Requirement Classification Using Natural Language processing by	005.1 TIME SERIES ANALYSIS AND FORECASTING IN PAKISTAN EDUCATION MANAGEMENT INFORMATION SYSTEM USING DATA MINING TECHNIQUES /	005.1 Prediction of Memberane Protein Using Pseudo Amino Acid Composition with Physiochemical Properties and Dipeptides /	005.1 Improving Software Maintenance by Applying Enhanced Tree Kernel Based Approach on Software Clone Detection Framework /	005.1 Business Process Re- engineering for Smart Manufacturing /	005.1 User Characterization based on tweets using machine learning algorithms /	Next

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