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, Chicago, IL, USA , pp. 244-255 (Official URL: http://dx.doi.org/10.1007/978-3-642-11805-0_24).
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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 , and are well received by domain users.
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