DocumentCode :
419135
Title :
Use of clustering to improve the layout of gene network for visualization
Author :
Noman, Nasimul ; Okada, Kouichi ; Hosoyama, Naoki ; Iba, Hitoshi
Author_Institution :
Dept. of Frontier Informatics, Tokyo Univ., Japan
Volume :
2
fYear :
2004
fDate :
19-23 June 2004
Firstpage :
2068
Abstract :
A very effective means to study the gene networks is visualization. With rapid increase of the size of gene networks, it has become more realistic to identify the collaborating genes in the network, which will facilitate the behavioral study of the groups and the network as a whole. In our previous paper, we presented a layered approach for visualizing gene regulatory networks. In this paper, we present a 3D layout model for visualizing gene networks, which clusters the correlated genes depending on their causal relationships. To demonstrate the effectiveness of the approach, we visualize real gene networks of different sizes. The experimental results show the superiority and usefulness of the new model when compared with previous results.
Keywords :
biological techniques; data visualisation; genetics; molecular biophysics; pattern clustering; solid modelling; 3D layout model; behavioral study; clustering; gene correlation; gene network layout; gene regulatory networks; layered approach; visualization; Bioinformatics; Biological system modeling; Biological systems; Collaboration; Data visualization; Gene expression; Genomics; Informatics; Information analysis; Layout;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2004. CEC2004. Congress on
Print_ISBN :
0-7803-8515-2
Type :
conf
DOI :
10.1109/CEC.2004.1331151
Filename :
1331151
Link To Document :
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