Semi-bipartite graph visualization for gene ontology networks
Book chapter
Xu, K., Williams, R., Hong, S., Liu, Q. and Zhang, J. 2010. Semi-bipartite graph visualization for gene ontology networks. in: Graph drawing : 17th International Symposium (GD 2009) Revised Papers Springer.
| Chapter title | Semi-bipartite graph visualization for gene ontology networks |
|---|---|
| Authors | Xu, K., Williams, R., Hong, S., Liu, Q. and Zhang, J. |
| 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. |
| Book title | Graph drawing : 17th International Symposium (GD 2009) Revised Papers |
| Publisher | Springer |
| ISSN | 0302-9743 |
| Publication dates | |
| 2010 | |
| Publication process dates | |
| Deposited | 03 Jul 2013 |
| Output status | Published |
| Additional information | Chicago, IL, USA, September 22-25, 2009. |
| Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-642-11805-0_24 |
| Language | English |
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