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政大典藏 > College of Commerce > Department of Statistics > Periodical Articles > Item 140.119/66699

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/66699

Title:	SCM-Driven Tree View for Microarray Data
Authors:	郭訓志 Kuo, Hsun-Chih;Yang, Miin-Shen;Yang, Jenn-Hwai;Chen, Yen-Chi
Contributors:	統計系
Keywords:	Clustering;Microarray data;Similarity-based clustering method;Eisen’s tree-view
Date:	2014.04
Issue Date:	2014-06-13 16:55:11 (UTC+8)
Abstract:	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.
Relation:	Artificial Intelligence and Soft Computing Lecture Notes in Computer Science, 8648 , 207-215
Data Type:	article
DOI link:	http://dx.doi.org/10.1007/978-3-319-07176-3_19
DOI:	10.1007/978-3-319-07176-3_19
Appears in Collections:	[Department of Statistics] Periodical Articles

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