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    政大機構典藏 > 商學院 > 統計學系 > 期刊論文 >  Item 140.119/66699


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    題名: SCM-Driven Tree View for Microarray Data
    作者: 郭訓志
    Kuo, Hsun-Chih;Yang, Miin-Shen;Yang, Jenn-Hwai;Chen, Yen-Chi
    貢獻者: 統計系
    關鍵詞: Clustering;Microarray data;Similarity-based clustering method;Eisen’s tree-view
    日期: 2014.04
    上傳時間: 2014-06-13 16:55:11 (UTC+8)
    摘要: Eisen’s tree view is a useful tool for clustering and displaying of microarray gene expression data. In Eisen’s tree view system, a hierarchical method is used for clustering data. However, some useful information in gene expression data may not be well drawn when a hierarchical clustering is directly used in Eisen’s tree view. In this paper, we embed the similarity-based clustering method (SCM) into the tree view system so that microarray data can be re-organized according to the structure of data. The created SCM-driven tree view can give a better dendrogram display for microarray gene expression data with more useful information.
    關聯: Artificial Intelligence and Soft Computing Lecture Notes in Computer Science, 8648 , 207-215
    資料類型: article
    DOI 連結: http://dx.doi.org/10.1007/978-3-319-07176-3_19
    DOI: 10.1007/978-3-319-07176-3_19
    顯示於類別:[統計學系] 期刊論文

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