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

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
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)