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A hybrid of support vector machines and smoothly clipped absolute deviation for identification of significant genes and biological pathways

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Main Author: Misman, Muhammad Faiz
Format: Thesis
Published: 2012
Subjects:
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Online Access:http://eprints.utm.my/id/eprint/30623/
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id my.utm.30623
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spelling my.utm.306232013-04-25T03:28:55Z http://eprints.utm.my/id/eprint/30623/ A hybrid of support vector machines and smoothly clipped absolute deviation for identification of significant genes and biological pathways Misman, Muhammad Faiz Unspecified 2012 Thesis NonPeerReviewed Misman, Muhammad Faiz (2012) A hybrid of support vector machines and smoothly clipped absolute deviation for identification of significant genes and biological pathways. Masters thesis, Universiti Teknologi Malaysia, Faculty of Civil Engineering.
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 Unspecified
spellingShingle Unspecified
Misman, Muhammad Faiz
A hybrid of support vector machines and smoothly clipped absolute deviation for identification of significant genes and biological pathways
format Thesis
author Misman, Muhammad Faiz
author_facet Misman, Muhammad Faiz
author_sort Misman, Muhammad Faiz
title A hybrid of support vector machines and smoothly clipped absolute deviation for identification of significant genes and biological pathways
title_short A hybrid of support vector machines and smoothly clipped absolute deviation for identification of significant genes and biological pathways
title_full A hybrid of support vector machines and smoothly clipped absolute deviation for identification of significant genes and biological pathways
title_fullStr A hybrid of support vector machines and smoothly clipped absolute deviation for identification of significant genes and biological pathways
title_full_unstemmed A hybrid of support vector machines and smoothly clipped absolute deviation for identification of significant genes and biological pathways
title_sort hybrid of support vector machines and smoothly clipped absolute deviation for identification of significant genes and biological pathways
publishDate 2012
url http://eprints.utm.my/id/eprint/30623/
_version_ 1643648590127562752
score 13.188404

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