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Computational and Mathematical Methods in Medicine
Volume 2012 (2012), Article ID 586246, 5 pages
http://dx.doi.org/10.1155/2012/586246
Research Article

A Gene Selection Method for Cancer Classification

1Faculty of Mathematics and Computer Science, Fuzhou University, Fuzhou 350002, China
2School of Public Health, Fujian Medical University, Fuzhou 350004, China

Received 19 July 2012; Revised 11 October 2012; Accepted 22 October 2012

Academic Editor: Reinoud Maex

Copyright © 2012 Xiaodong Wang and Jun Tian. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper proposes a method to select a set of genes from a large number of genes with the ability of classifying types of diseases. The proposed gene selection method is designed according to correlation analysis and the concept of 95% reference range. The method is very simple and uses the information of all genes. We have used the method in leukemia patients and achieved good classification results.