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Erschienen in:
2014 | OriginalPaper | Buchkapitel
SCM-driven Tree View for Microarray Data
verfasst von : Hsun-Chih Kuo, Miin-Shen Yang, Jenn-Hwai Yang, Yen-Chi Chen
Erschienen in: Artificial Intelligence and Soft Computing
Verlag: Springer International Publishing
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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.