Boosting for Feature Selection for Microarray Data Analysis

被引：0

作者：

Guile, Geoffrey R. ^{[1
]}

Wang, Wenjia ^{[1
]}

机构：

[1] Univ E Anglia, Sch Comp Sci, Norwich NR4 7TJ, Norfolk, England

来源：

2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8 | 2008年

关键词：

D O I：

10.1109/IJCNN.2008.4634156

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We have investigated the use of boosting techniques for feature selection for microarray data analysis. We propose a novel algorithm for feature selection and have tested it on three datasets. The results clearly show that our boosting technique for feature selection outperformed the Wilcoxon-Mann-Whitney U-test commonly used in microarray data analysis, and produced more accurate boosting ensembles when they were constructed with the features selected by our technique.

引用

页码：2559 / 2563

页数：5

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