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

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Main Author: Guramad Singh, Sharon Kaur
Format: Thesis
Published: 2013
Subjects:
QH Natural history
Online Access:http://eprints.utm.my/id/eprint/41624/
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id my.utm.41624
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spelling my.utm.416242014-10-08T02:20:56Z http://eprints.utm.my/id/eprint/41624/ Enzyme sub-functional class prediction using multi-biological knowledge feature representation and twin support vector machine Guramad Singh, Sharon Kaur QH Natural history 2013 Thesis NonPeerReviewed Guramad Singh, Sharon Kaur (2013) Enzyme sub-functional class prediction using multi-biological knowledge feature representation and twin support vector machine. Masters thesis, Universiti Teknologi Malaysia, Faculty of Computing.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
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
format Thesis
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
publishDate 2013
url http://eprints.utm.my/id/eprint/41624/
_version_ 1643650669341573120
score 13.187197

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