政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/66699

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 113656/144643 (79%)
Visitors : 51718492 Online Users : 597

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

政大機構典藏 > 商學院 > 統計學系 > 期刊論文 > 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 連結:	http://dx.doi.org/10.1007/978-3-319-07176-3_19
DOI:	10.1007/978-3-319-07176-3_19
Appears in Collections:	[統計學系] 期刊論文

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML2	1239	View/Open

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

Loading...