A new hybrid method for gene selection |
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| Authors: | Ruichu Cai Zhifeng Hao Xiaowei Yang Han Huang |
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| Affiliation: | (1) Faculty of Computer Science, Guangdong University of Technology, Guangzhou, 510006, People’s Republic of China;(2) College of Mathematics Science, South China University of Technology, Guangzhou, 510640, People’s Republic of China;(3) School of Software Engineering, South China University of Technology, Guangzhou, 510006, People’s Republic ofChina;(4) Department of Management Sciences, College of Business, City University of Hong Kong, Hong Kong, People’s Republic of China |
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| Abstract: | Gene selection is a significant preprocessing of the discriminant analysis of microarray data. The classical gene selection methods can be classified into three categories: the filters, the wrappers and the embedded methods. In this paper, a novel hybrid gene selection method (HGSM) is proposed by exploring both the mutual information criterion (filters) and leave-one-out-error criterion (wrappers) under the framework of an improved ant algorithm. Extensive experiments are conducted on three benchmark datasets and the results confirm the effectiveness and efficiency of HGSM. |
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