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遗传优化算法在基因数据分类中的应用 被引量：2

Genetic Algorithm for the Classification of Microarray Data
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摘要 本文提出了一种基于遗传算法的基因微阵列数据特征提取方法。首先对原始数据进行标准化,然后利用方差分析方法对数据进行降低维数处理,最后利用遗传算法对数据进行优化。针对基因数据对遗传算子和适应度函数进行设置,优化数据集选取特征基因,得到较小的特征子集。为了验证选取的特征,利用样本划分法通过判别分析建立分类器进行判定。实验论证此方法具有理想的分类效果,算法稳定、效率高。 This paper presents a feature selection method based on genetic algorithm （GA） and linear discriminant analysis （LDA）. First, normalization and gene filtering are used to pre-process dataset. Then genetic algorithm is performed to select the best features. We use linear discfiminant analysis to form the fitness function. In the experiments, a good gene subset is obtained based on the global searching of microarray data. Experimental results prove our method is robust and efficient.
作者 孟范静 刘毅慧 王洪国 成金勇
机构地区 山东轻工业学院 山东省科学技术厅
出处 《生物信息学》 2008年第3期119-122,共4页 Chinese Journal of Bioinformatics
基金 山东省自然科学基金 Y2006C96
关键词 基因数据 数据预处理 特征选取 遗传算法 分类评价 Microarrays data Data pre-processing Feature selection Genetic Algorithm Linear Diserirainant Analysis
分类号 Q617 [生物学—生物物理学] TP391 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献15

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二级参考文献37

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共引文献24

同被引文献13

  • 1赵晖,荣莉莉,李晓.一种设计层次支持向量机多类分类器的新方法[J].计算机应用研究,2006,23(6):34-37. 被引量：20
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生物信息学
2008年 第3期

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