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一种有效的基因投影聚类算法 被引量:1

An Efficient Algorithm of Gene Projected Clustering
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摘要 针对现有基因投影聚类算法的不足,提出一种有效的基因投影聚类算法。该算法基于样本构建穷举树,根据基因间的相互作用关系,采用深度优先遍历的思想进行投影聚类,为观察疾病的成因提供了一个很好的视角。通过真实微阵列数据实验,证明了提出的算法具有较高的正确率。 To address the deficiencies of most existing gene clustering algorithms ,a novel gene projected clustering algorithm is proposed. The projected clustering is conducted based on a quick depth-first traverse on the sample enumeration tree considering the correlation among genes,which provides a new insight into the pathogenesis problem. Experimental results on real microarray data set prove high accuracy of the proposed algorithm.
出处 《广西师范大学学报(自然科学版)》 CAS 北大核心 2009年第1期105-108,共4页 Journal of Guangxi Normal University:Natural Science Edition
基金 973计划资助项目(2006CB303103) 863计划资助项目(2007AA012192) 国家自然科学基金资助项目(60803026 60873011 60773219) 教育部博士点新教师基金资助项目(20070145112)
关键词 基因表达数据 投影聚类 数据挖掘 gene expression data projected clustering data mining
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参考文献8

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二级参考文献18

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