Incorporating optimized local protein structures and granular support vector machines for structural class prediction

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Bibliographic Details
Main Author:	Hassan, Rohayanti
Format:	Thesis
Published:	2011
Subjects:	QA Mathematics
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id	my-utm-ep.19122
record_format	uketd_dc
spelling	my-utm-ep.191222012-08-29T08:23:32Z Incorporating optimized local protein structures and granular support vector machines for structural class prediction 2011 Hassan, Rohayanti QA Mathematics 2011 Thesis http://eprints.utm.my/id/eprint/19122/ phd doctoral Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Computer Science and Information System
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
topic	QA Mathematics
spellingShingle	QA Mathematics Hassan, Rohayanti Incorporating optimized local protein structures and granular support vector machines for structural class prediction
description
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Hassan, Rohayanti
author_facet	Hassan, Rohayanti
author_sort	Hassan, Rohayanti
title	Incorporating optimized local protein structures and granular support vector machines for structural class prediction
title_short	Incorporating optimized local protein structures and granular support vector machines for structural class prediction
title_full	Incorporating optimized local protein structures and granular support vector machines for structural class prediction
title_fullStr	Incorporating optimized local protein structures and granular support vector machines for structural class prediction
title_full_unstemmed	Incorporating optimized local protein structures and granular support vector machines for structural class prediction
title_sort	incorporating optimized local protein structures and granular support vector machines for structural class prediction
granting_institution	Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department	Faculty of Computer Science and Information System
publishDate	2011
_version_	1747815386735181824

Incorporating optimized local protein structures and granular support vector machines for structural class prediction

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