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Clustering, Leaf-ordering and Visualization for Intuitive Analysis of Deoxyribonucleic-Acid Chip Data*

초록

영어

Generally the result data from DNA chip experiments have lots of gene expression
information. Scientists want to get perspective insight or want to find intuitive fact from that
data. Hierarchical clustering is the most widely used method for analysis of gene expression
data. In this paper, we address leaf-ordering, which is a post-processing for the dendrograms
– a sort of edge-weighted binary trees – created by hierarchical clustering and we present a
new approach for leaf-ordering scheme. And we show the comparison results for our
approach and the existing approach.

목차

Abstract
 1. Introduction
 2. System construction: definitions and notations
 3. Overall leaf-ordering vs. leaf-ordering for each cluster
 4. Experiments and Results
 5. Conclusion

저자정보

  • Sang-Soo Yeo Department of Computer Science & Communication Engineering, Kyushu University, Fukuoka, Japan
  • Gil-Cheol Park School of Information & Multimedia, Hannam University, Daejeon, Korea
  • Seok-Soo Kim School of Information & Multimedia, Hannam University, Daejeon, Korea
  • Tai-hoon Kim School of Information & Multimedia, Hannam University, Daejeon, Korea
  • Sung Kwon Kim School of Computer Science & Engineering, Chung-Ang University, Seoul, Korea

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