计算机技术与发展2012，Vol.22Issue(6)：68-70,74,4.
基于粗糙集和蚁群算法的特征基因选择方法
Gene Selection Method Based on Rough Sets and Ant Colony Algorithm
摘要
Abstract
Gene selection takes an important place in DNA date analysis. Good feature selection method is one of the keys to improve tbe gene expression data classification accuracy and speed. Take advantage of ant colony optimization (ACO) algorithm and rough set theory in microarray data processing,use rough set theory and ACO algorithm to put forward a gene selection method. This algorithm uses rough set dependency and attributes significance to guide tbe ants search process and feature gene subset assess. It can get a feature subset easily and quickly,with a small number of genes can get good classification accuracy. The given examples testing in real datasets show that the proposed method is feasible and effective.关键词
特征选择/粗糙集/蚁群算法Key words
feature selection/rough sets/ant colony algorithm分类
信息技术与安全科学引用本文复制引用
黄丹凤,祁云嵩,许姗娜..基于粗糙集和蚁群算法的特征基因选择方法[J].计算机技术与发展,2012,22(6):68-70,74,4.基金项目
国家自然科学基金(61100116) （61100116）
江苏省自然科学基金(BK2011492) （BK2011492）
江苏省高校自然科学基金(11KJB520004) （11KJB520004）
