一种肿瘤基因的支持向量机提取方法

doi:10.3969/j.issn.1001-2400.2012.01.034

Abstract

Abstract:

According to the characteristics of the colon cancer gene expression profiles with high dimension, small sample and great noise,a method is proposed to measure the tumor gene with the Bhattacharyya distance and remove the genes irrelevant to the classification task. The method extracts the tumor gene for the second time by utilizing the sensitivity of the tumor gene on the model. Simultaneously, a weight is added to the important genes depending on the normalization of the sensitivity and a new sample dataset is built. Finally a support vector machine is used to analyze and test the feature genes on the new sample dataset. Experimental results show that this method improves the accuracy of tumor diagnosis.

Key words: gene expression profiles, Bhattacharyya distance, sensitivity, support vector machine, four-fold cross-validated method

CLC Number:

中图分类号:TP391

QIN Chuandong;LIU Sanyang;ZHANG Shifang. Method for extracting the tumor gene based on the support vector machine[J].J4, 2012, 39(1): 191-196.

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Method for extracting the tumor gene based on the support vector machine

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