Poster: Observing change in crowded data sets in 3D space - Visualizing gene expression in human tissues
Alanis Lobato, Gregorio
Weber, Philip P.
Schulze, Jürgen P.
KAUST DepartmentApplied Mathematics and Computational Science Program
Biological and Environmental Sciences and Engineering (BESE) Division
Integrative Systems Biology Lab
KAUST Visualization Laboratory (KVL)
Computational Bioscience Research Center (CBRC)
Computer Science Program
Permanent link to this recordhttp://hdl.handle.net/10754/564688
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AbstractWe 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.
CitationRogowski, 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
Conference/Event name8th IEEE International Symposium on 3D User Interfaces, 3DUI 2013