CLUSTERING GENE EXPRESSION DATA WITH KERNEL PRINCIPAL COMPONENTS

Zhenqiu Liu; Dechang Chen; Halima Bensmail; Ying Xu

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CLUSTERING GENE EXPRESSION DATA WITH KERNEL PRINCIPAL COMPONENTS

机译：使用内核主组件进行聚类基因表达数据

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Kernel principal component analysis (KPCA) has been applied to data clustering and graphic cut in the last couple of years. This paper discusses the application of KPCA to microarray data clustering. A new algorithm based on KPCA and fuzzy C-means is proposed. Experiments with microarray data show that the proposed algorithms is in general superior to traditional algorithms.

机译：内核主成分分析（KPCA）已应用于过去几年的数据聚类和图形。本文讨论了KPCA在微阵列数据聚类的应用。提出了一种基于KPCA和模糊C型算法的新算法。微阵列数据的实验表明，所提出的算法通常优于传统算法。

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来源
《Journal of Bioinformatics and Computational Biology》 |2005年第2期|共14页
作者
Zhenqiu Liu; Dechang Chen; Halima Bensmail; Ying Xu;
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作者单位

Bioinformatics Cell TATRC 110 North Market Street Frederick MD 21701 USA;

Department of Preventive Medicine and Biometrics Uniformed Services University of the Health Sciences 4301 Jones Bridge Rd Bethesda MD 20814 USA;

Department of Statistics University of Tennessee 334 Stokely Management Center Knoxville TN 37996 USA;

Department of Biochemistry and Molecular Biology University of Georgia 120 Green Street Athens GA 30602 USA;

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原文格式 PDF
正文语种 eng
中图分类细胞生物学;
关键词
Fuzzy C-means; kernel principal component analysis; microarray experiment; unsupervised learning;

机译：模糊C型方式;内核主成分分析;微阵列实验;无监督的学习;

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专利

1. CLUSTERING GENE EXPRESSION DATA WITH KERNEL PRINCIPAL COMPONENTS [J] . Zhenqiu Liu, Dechang Chen, Halima Bensmail, Journal of Bioinformatics and Computational Biology . 2005,第2期

机译：使用内核主组件进行聚类基因表达数据
2. Gene expression data classification with Kernel principal component analysis. [J] . Liu Z, Chen D, Bensmail H Journal of biomedicine & biotechnology . 2005,第2期

机译：使用内核主成分分析对基因表达数据进行分类。
3. Gene Expression Data Classification With Kernel Principal Component Analysis [J] . ZhenqiuLiu, DechangChen, HalimaBensmail BioMed research international . 2005,第2期

机译：基于核主成分分析的基因表达数据分类
4. Finding Distinct Clusters in Gene Expression Data Using Similarity in Principal Component Subspaces [C] . Sudhakar Jonnalagadda, Rajagopalan Srinivasan International Symposium on Runaway Reactions, Pressure Relief Design and Effluent Handling American Institute of Chemical Engineers/American Chemical Society Management Conference . 2005

机译：使用主成分子空间中的相似性在基因表达数据中找到不同的簇
5. On using block principal component analysis for reducing gene-expression data dimensions. [D] . Lee, Sang Hee. 2005

机译：关于使用块主成分分析来减少基因表达数据的维度。
6. Gene Expression Data Classification With Kernel Principal Component Analysis [O] . Zhenqiu Liu, Dechang Chen, Halima Bensmail 2005

机译：核基因表达数据分类主成分分析
7. Gene Expression Data Classification With Kernel Principal Component Analysis [O] . Liu Zhenqiu, Chen Dechang, Bensmail Halima 2005

机译：核基因表达数据分类主成分分析
8. Kernel Principal Component Analysis for Stochastic Input Model Generation (PREPRINT) [R] . Ma, X., Zabaras, N. 2010

机译：随机输入模型生成的核主成分分析（pREpRINT）

CLUSTERING GENE EXPRESSION DATA WITH KERNEL PRINCIPAL COMPONENTS

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