A hybrid genetic algorithm and support vector machine classifier for feature selection and classification of gene expression
Advancement in gene expression technology offers the ability to measure the expression levels of thousand of genes in parallel. Gene expression microarray data is expected to significantly aid in the development of efficient cancer diagnosis and classification platforms. Key issues that need to be a...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2005
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| Online Access: | http://eprints.utm.my/id/eprint/34718/1/MohdSaberiBinTanAhChik%40MohamadMFC2005.pdf http://eprints.utm.my/id/eprint/34718/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:61261?queryType=vitalDismax&query=+A+hybrid+genetic+algorithm+and+support+vector+machine+classifier+for+feature+selection+and+classification+of+gene+expression&public=true |
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http://eprints.utm.my/id/eprint/34718/1/MohdSaberiBinTanAhChik%40MohamadMFC2005.pdfhttp://eprints.utm.my/id/eprint/34718/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:61261?queryType=vitalDismax&query=+A+hybrid+genetic+algorithm+and+support+vector+machine+classifier+for+feature+selection+and+classification+of+gene+expression&public=true