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, September 22-25, 2009 , pp. 244-255(Official URL: http://dx.doi.org/10.1007/978-3-642-11805-0_24).

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Abstract

In this paper we propose three layout algorithms for semibipartite 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: Conference Paper
Additional Information: 10.1007/978-3-642-11805-0_24
Classifications: M Methods > M.500 Layered
P Styles > P.480 Layered
URI: http://gdea.informatik.uni-koeln.de/id/eprint/1114

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