Gene selection for DNA microarray data
230 p.
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sg-ntu-dr.10356-469742023-07-04T16:11:09Z Gene selection for DNA microarray data Zhou, Xin Mao Kezhi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering 230 p. One problem with discriminant analysis of DNA microarray data is that each sample is represented by quite a large number of genes, and many of them are irrelevant, insignificant or redundant to the discriminant problem under investigation. Methods for selecting important genes are, therefore, of much significance in microarray data analysis. Gene selection can be cast as a feature selection problem in the context of pattern classification. Feature selection approaches can be divided into two broad groups, filter methods and wrapper methods. Generally speaking, the wrapper method provides features with better predictive accuracy than the filter method. In this thesis, wrapper-based gene selection is the focus. DOCTOR OF PHILOSOPHY (EEE) 2011-12-27T05:51:09Z 2011-12-27T05:51:09Z 2007 2007 Thesis Zhou, X. (2007). Gene selection for DNA microarray data. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/46974 10.32657/10356/46974 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Zhou, Xin Gene selection for DNA microarray data |
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230 p. |
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Mao Kezhi |
author_facet |
Mao Kezhi Zhou, Xin |
format |
Theses and Dissertations |
author |
Zhou, Xin |
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Zhou, Xin |
title |
Gene selection for DNA microarray data |
title_short |
Gene selection for DNA microarray data |
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Gene selection for DNA microarray data |
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Gene selection for DNA microarray data |
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Gene selection for DNA microarray data |
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gene selection for dna microarray data |
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2011 |
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https://hdl.handle.net/10356/46974 |
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1772828559059976192 |