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Selecting informative genes from leukemia gene expression data using a hybrid approach for cancer classification

Mohamad, Mohd. Saberi and Deris, Safaai and Hashim, Siti Zaiton Mohd. (2007) Selecting informative genes from leukemia gene expression data using a hybrid approach for cancer classification. In: 3rd Kuala Lumpur International Conference on Biomedical Engineering 2006. Springer Berlin Heidelberg, pp. 528-532. ISBN 978-3-540-68016-1

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Official URL: http://dx.doi.org/10.1007/978-3-540-68017-8_133


The development of microarray-based high-throughput gene profiling has led to the hope that this technology could provide an efficient and accurate means of diagnosing and classifying cancers. However, the large amount of data generated by microarrays requires effective selection of informative genes for cancer classification. Key issue that needs to be addressed is a selection of small number of informative genes that contribute to a disease from the thousands of genes measured on microarrays. This work deals with finding the small subset of informative genes from gene expression microarray data which maximize the classification accuracy. We introduce an improved version of hybrid of genetic algorithm and support vector machine for genes selection and classification. We show that the classification accuracy of the proposed approach is superior to a number of current state-of-the-art methods of one widely used benchmark dataset. The informative genes from the best subset are validated and verified by comparing them with the biological results produced from biology and computer scientist researchers in order to explore the biological plausibility.

Item Type:Book Section
Uncontrolled Keywords:Gene selection, classification, genetic algorithm, support vector machine, gene expression, microarray
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System
ID Code:9640
Deposited By: Salasiah M Said
Deposited On:18 Jan 2010 07:53
Last Modified:15 Aug 2017 01:34

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