Classification Algorithm on Gene Expression Profiles of Tumor Using Neighborhood Rough Set and Support Vector Machine

Tao Chen

doi:10.4028/www.scientific.net/AMR.850-851.1238

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Growth Process of Periphytic Biofilm under Defined Local Hydrodynamic Conditions
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Classification Algorithm on Gene Expression Profiles of Tumor Using Neighborhood Rough Set and Support Vector Machine
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 850-851Classification Algorithm on Gene Expression...

Classification Algorithm on Gene Expression Profiles of Tumor Using Neighborhood Rough Set and Support Vector Machine

Abstract:

Gene expression profiles of tumor have the limited amount of samples in comparison to the high dimensionality of the samples;this paper proposed a classification algorithm based on neighborhood rough set to improve classification accuracy.This paper first applied feature filtering method of kruskal-wallis rank sum test to select a set of top-ranked related genes, and then applied neighborhood rough set on these genes to generate a informative genes subset. Finally, SVM was used to classify the GEP data set. The result of the experiment indicates that this method can effectively improve classification accuracy, and it has higher generalization.