Enzyme sub-functional class prediction using multi-biological knowledge feature representation and twin support vector machine

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Bibliographic Details
Main Author:	Guramad Singh, Sharon Kaur
Format:	Thesis
Published:	2013
Subjects:	QH Natural history
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id	my-utm-ep.41624
record_format	uketd_dc
spelling	my-utm-ep.416242014-10-08T02:20:56Z Enzyme sub-functional class prediction using multi-biological knowledge feature representation and twin support vector machine 2013 Guramad Singh, Sharon Kaur QH Natural history 2013 Thesis http://eprints.utm.my/id/eprint/41624/ masters Universiti Teknologi Malaysia, Faculty of Computing Faculty of Computing
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
topic	QH Natural history
spellingShingle	QH Natural history Guramad Singh, Sharon Kaur Enzyme sub-functional class prediction using multi-biological knowledge feature representation and twin support vector machine
description
format	Thesis
qualification_level	Master's degree
author	Guramad Singh, Sharon Kaur
author_facet	Guramad Singh, Sharon Kaur
author_sort	Guramad Singh, Sharon Kaur
title	Enzyme sub-functional class prediction using multi-biological knowledge feature representation and twin support vector machine
title_short	Enzyme sub-functional class prediction using multi-biological knowledge feature representation and twin support vector machine
title_full	Enzyme sub-functional class prediction using multi-biological knowledge feature representation and twin support vector machine
title_fullStr	Enzyme sub-functional class prediction using multi-biological knowledge feature representation and twin support vector machine
title_full_unstemmed	Enzyme sub-functional class prediction using multi-biological knowledge feature representation and twin support vector machine
title_sort	enzyme sub-functional class prediction using multi-biological knowledge feature representation and twin support vector machine
granting_institution	Universiti Teknologi Malaysia, Faculty of Computing
granting_department	Faculty of Computing
publishDate	2013
_version_	1747816584140816384

Enzyme sub-functional class prediction using multi-biological knowledge feature representation and twin support vector machine

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