Enhanced machine learning techniques for microarray cancer classification

This thesis deals with the problem of microarray cancer classification. Machine learning methods have been used and enhanced to tackle the task. Some novel use of the current methods has been presented. Evaluation based on classification accuracy and execution time has shown the advantages of the en...

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Main Author: Shen, Li
Other Authors: Tan Eng Choon
Format: Theses and Dissertations
Published: 2008
Subjects:
Online Access:https://hdl.handle.net/10356/2444
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-24442023-03-04T00:39:25Z Enhanced machine learning techniques for microarray cancer classification Shen, Li Tan Eng Choon School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences This thesis deals with the problem of microarray cancer classification. Machine learning methods have been used and enhanced to tackle the task. Some novel use of the current methods has been presented. Evaluation based on classification accuracy and execution time has shown the advantages of the enhancements. DOCTOR OF PHILOSOPHY(SCE) 2008-09-17T09:03:09Z 2008-09-17T09:03:09Z 2006 2006 Thesis Shen, L. (2006). Enhanced machine learning techniques for microarray cancer classification. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/2444 10.32657/10356/2444 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
spellingShingle DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Shen, Li
Enhanced machine learning techniques for microarray cancer classification
description This thesis deals with the problem of microarray cancer classification. Machine learning methods have been used and enhanced to tackle the task. Some novel use of the current methods has been presented. Evaluation based on classification accuracy and execution time has shown the advantages of the enhancements.
author2 Tan Eng Choon
author_facet Tan Eng Choon
Shen, Li
format Theses and Dissertations
author Shen, Li
author_sort Shen, Li
title Enhanced machine learning techniques for microarray cancer classification
title_short Enhanced machine learning techniques for microarray cancer classification
title_full Enhanced machine learning techniques for microarray cancer classification
title_fullStr Enhanced machine learning techniques for microarray cancer classification
title_full_unstemmed Enhanced machine learning techniques for microarray cancer classification
title_sort enhanced machine learning techniques for microarray cancer classification
publishDate 2008
url https://hdl.handle.net/10356/2444
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