| 基于自适应遗传算法的特征基因选择 |
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| 引用本文： | 方文道,章坚民,刘登涛,杨阳.基于自适应遗传算法的特征基因选择[J].科技通报,2011,27(2):241-245. |
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| 作者姓名： | 方文道 章坚民 刘登涛 杨阳 |
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| 作者单位： | 杭州电子科技大学,杭州,310018 |
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| 摘 要： | 提出了一种基于自适应遗传算法的特征基因选择方法,首先建立一个基于Bhattacharyya距离的基因差异度模型,根据支持向量机(SVM)分类器的分类准确率选择出一个候选特征基因子集,然后利用自适应遗传算法搜索出一组最优特征基因组合,有效避免了遗传算法早熟收敛的缺陷,提高了全局寻优能力.对结肠癌基因表达谱数据进行仿真实验...
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| 关 键 词： | 基因表达谱 特征基因 自适应遗传算法 支持向量机 |
A Feature Gene Selection Algorithm Based On Adaptive Genetic Algorithm |
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| FANG Wendao,ZHANG Jianmin,LIU Dengtao,YANG Yang.A Feature Gene Selection Algorithm Based On Adaptive Genetic Algorithm[J].Bulletin of Science and Technology,2011,27(2):241-245. |
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| Authors: | FANG Wendao ZHANG Jianmin LIU Dengtao YANG Yang |
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| Institution: | FANG Wendao,ZHANG Jianmin,LIU Dengtao,YANG Yang(Hangzhou dianzi university,Hangzhou 310018,China) |
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| Abstract: | proposed a feature gene selection algorithm based on adaptive Genetic Algorithm.Firstly,created a genetic difference model based on Bhattacharyya distance and choose a candidate gene set that contained 50 genes according to SVM classifier accuracy.Secondly,selected some feature genes using adaptive Genetic Algorithm avoiding premature convergence.Using this method on experiment on colon cancer gene expression data,the classification accuracy rate arrives at 94.6% when the feature genes are four.So the exper... |
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| Keywords: | gene expression: feature gene: adaptive genetic algorithm: support vector machine |
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