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A Modified Ant Colony Optimization Algorithm for Tumor Marker Gene Selection |
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| Authors: | Hualong Yu Guochang Gu Haibo Liu Jing Shen Jing Zhao College of Computer Science Technology Harbin Engineering University Harbin China. |
| Affiliation: | College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China. |
| Abstract: | Microarray data are often extremely asymmetric in dimensionality,such as thousands or even tens of thousands of genes but only a few hundreds of samples or less.Such extreme asymmetry between the dimensionality of genes and samples can lead to inaccurate diagnosis of disease in clinic.Therefore,it has been shown that selecting a small set of marker genes can lead to improved classification accuracy.In this paper,a simple modified ant colony optimization (ACO) algorithm is proposed to select tumor-related ma... |
| Keywords: | microarray data ant colony optimization marker gene selection support vector machine |
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