A new method on gene selection for tissue classification

Ying Hao; Fanwen Meng

doi:10.3934/jimo.2007.3.739

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2007, Volume 3, Issue 4: 739-748. Doi: 10.3934/jimo.2007.3.739

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A new method on gene selection for tissue classification

Ying Hao^1, and
Fanwen Meng^2,

1.
Department of Statistics and Applied Probability, National University of Singapore, 2 Science Drive 2, Singapore 117543, Republic of Singapore
2.
The Logistics Institute - Asia Pacific, National University of Singapore, 7 Engineering Drive 1, Singapore 117574, Republic of Singapore

Received: July 31, 2006

Revised: March 31, 2007

Published: September 2007

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Abstract

Tumor classification is one of the important applications of microarray technology. In gene expression-based tumor classification systems, gene selection is a main and very important component. In this paper, we propose a new approach for gene selection. With the genes selected in colon cancer data, acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML) data using our approach, we apply support vector machines to classify tissues in these two data sets, respectively. The results of classification show that our method is very useful and promising.

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Mathematics Subject Classification: Primary: 58F15, 58F17; Secondary: 53C35.

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