| dc.contributor | 統計系 | en_US |
| dc.creator (作者) | 郭訓志 | zh_TW |
| dc.creator (作者) | Kuo, Hsun-Chih ; Yang, Miin-Shen ; Yang, Jenn-Hwai ; Chen, Yen-Chi | en_US |
| dc.date (日期) | 2014.04 | en_US |
| dc.date.accessioned | 13-Jun-2014 16:55:11 (UTC+8) | - |
| dc.date.available | 13-Jun-2014 16:55:11 (UTC+8) | - |
| dc.date.issued (上傳時間) | 13-Jun-2014 16:55:11 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/66699 | - |
| dc.description.abstract (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. | en_US |
| dc.format.extent | 125 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.language.iso | en_US | - |
| dc.relation (關聯) | Artificial Intelligence and Soft Computing Lecture Notes in Computer Science, 8648 , 207-215 | en_US |
| dc.subject (關鍵詞) | Clustering;Microarray data;Similarity-based clustering method;Eisen’s tree-view | en_US |
| dc.title (題名) | SCM-Driven Tree View for Microarray Data | en_US |
| dc.type (資料類型) | article | en |
| dc.identifier.doi (DOI) | 10.1007/978-3-319-07176-3_19 | en_US |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1007/978-3-319-07176-3_19 | en_US |
