Xu, Kai and Williams, Rohan and Hong, Seok-Hee and Liu, Qing and Zhang, Ji ORCID: https://orcid.org/0000-0001-7167-6970
(2010)
Semi-bipartite graph visualization for gene ontology networks.
In: GD 2009: 17th International Symposium on Graph Drawing, 22-25 Sep 2009, Chicago, United States.
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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, and are well received by domain users.
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