Semi-bipartite graph visualization for gene ontology networks

Xu, Kai and Williams, Rohan and Hong, Seok-Hee and Liu, Qing and Zhang, Ji (2010) Semi-bipartite graph visualization for gene ontology networks. In: Graph drawing : 17th International Symposium (GD 2009) Revised Papers. Springer, pp. 244-255.

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Abstract

In this paper we propose three layout algorithms for semi-bipartite graphs—bipartite graphs with edges in one partition—that emerge from microarray experiment analysis. We also introduce a method that effectively reduces visual complexity by removing less informative nodes. The drawing quality and running time are evaluated with five real-world datasets, and the results show significant reduction in crossing number and total edge length. All the proposed methods are available in visualization package GEOMI [1], and are well received by domain users.

Item Type: Book Section
Additional Information: Chicago, IL, USA, September 22-25, 2009.
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 11160
Useful Links:
Depositing User: Teddy ~
Date Deposited: 03 Jul 2013 16:04
Last Modified: 13 Oct 2016 14:27
URI: http://eprints.mdx.ac.uk/id/eprint/11160

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