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    Poster: Observing change in crowded data sets in 3D space - Visualizing gene expression in human tissues

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    Type
    Conference Paper
    Authors
    Rogowski, Marcin cc
    Cannistraci, Carlo
    Alanis Lobato, Gregorio cc
    Weber, Philip P.
    Ravasi, Timothy cc
    Schulze, Jürgen P.
    Acevedo-Feliz, Daniel
    KAUST Department
    Applied Mathematics and Computational Science Program
    Biological and Environmental Sciences and Engineering (BESE) Division
    Integrative Systems Biology Lab
    KAUST Visualization Laboratory (KVL)
    Bioscience Program
    Computational Bioscience Research Center (CBRC)
    Computer Science Program
    Date
    2013-03
    Permanent link to this record
    http://hdl.handle.net/10754/564688
    
    Metadata
    Show full item record
    Abstract
    We have been confronted with a real-world problem of visualizing and observing change of gene expression between different human tissues. In this paper, we are presenting a universal representation space based on two-dimensional gel electrophoresis as opposed to force-directed layouts encountered most often in similar problems. We are discussing the methods we devised to make observing change more convenient in a 3D virtual reality environment. © 2013 IEEE.
    Citation
    Rogowski, M., Cannistraci, C. V., Alanis-Lobato, G., Weber, P., Ravasi, T., Schulze, J., & Acevedo-Feliz, D. (2013). Poster: Observing change in crowded data sets in 3D space - Visualizing gene expression in human tissues. 2013 IEEE Symposium on 3D User Interfaces (3DUI). doi:10.1109/3dui.2013.6550234
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2013 IEEE Symposium on 3D User Interfaces (3DUI)
    Conference/Event name
    8th IEEE International Symposium on 3D User Interfaces, 3DUI 2013
    ISBN
    9781467360975
    DOI
    10.1109/3DUI.2013.6550234
    ae974a485f413a2113503eed53cd6c53
    10.1109/3DUI.2013.6550234
    Scopus Count
    Collections
    Conference Papers; Biological and Environmental Science and Engineering (BESE) Division; Bioscience Program; Applied Mathematics and Computational Science Program; Computer Science Program; Computational Bioscience Research Center (CBRC); KAUST Visualization Laboratory (KVL)

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