Semi-bipartite graph visualization for gene ontology networks

Kai Xu*, Rohan Williams, Seok Hee Hong, Qing Liu, Ji Zhang

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    7 Citations (Scopus)

    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.

    Original languageEnglish
    Title of host publicationGraph Drawing - 17th International Symposium, GD 2009, Revised Papers
    Pages244-255
    Number of pages12
    DOIs
    Publication statusPublished - 2010
    Event17th International Symposium on Graph Drawing, GD 2009 - Chicago, IL, United States
    Duration: 22 Sept 200925 Sept 2009

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume5849 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference17th International Symposium on Graph Drawing, GD 2009
    Country/TerritoryUnited States
    CityChicago, IL
    Period22/09/0925/09/09

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