A hybrid of support vector machines and smoothly clipped absolute deviation for identification of significant genes and biological pathways
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2012
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my-utm-ep.306232013-04-25T03:28:55Z A hybrid of support vector machines and smoothly clipped absolute deviation for identification of significant genes and biological pathways 2012-00 Misman, Muhammad Faiz Unspecified 2012-00 Thesis http://eprints.utm.my/id/eprint/30623/ masters Universiti Teknologi Malaysia, Faculty of Civil Engineering Faculty of Civil Engineering |
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Universiti Teknologi Malaysia |
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Unspecified Misman, Muhammad Faiz A hybrid of support vector machines and smoothly clipped absolute deviation for identification of significant genes and biological pathways |
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|
format |
Thesis |
qualification_level |
Master's degree |
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 |
granting_institution |
Universiti Teknologi Malaysia, Faculty of Civil Engineering |
granting_department |
Faculty of Civil Engineering |
publishDate |
2012 |
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1747815709064298496 |