dc.contributor.authorZhou, Xinen_US
dc.date.accessioned2011-12-27T05:51:09Z
dc.date.accessioned2017-07-23T08:34:01Z
dc.date.available2011-12-27T05:51:09Z
dc.date.available2017-07-23T08:34:01Z
dc.date.copyright2007
dc.date.issued2007
dc.identifier.citationZhou, X. (2007). Gene selection for DNA microarray data. Doctoral thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/46974
dc.description230 p.en_US
dc.description.abstractOne 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.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen_US
dc.titleGene selection for DNA microarray dataen_US
dc.typeThesisen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.contributor.supervisorMao Kezhien_US
dc.description.degreeDOCTOR OF PHILOSOPHY (EEE)en_US


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