Poster: Observing change in crowded data sets in 3D space - Visualizing gene expression in human tissues
Type
Conference PaperAuthors
Rogowski, Marcin
Cannistraci, Carlo
Alanis Lobato, Gregorio

Weber, Philip P.
Ravasi, Timothy

Schulze, Jürgen P.
Acevedo-Feliz, Daniel
KAUST Department
Applied Mathematics and Computational Science ProgramBiological 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
2013-03Permanent link to this record
http://hdl.handle.net/10754/564688
Metadata
Show full item recordAbstract
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.2013.6550234Conference/Event name
8th IEEE International Symposium on 3D User Interfaces, 3DUI 2013ISBN
9781467360975ae974a485f413a2113503eed53cd6c53
10.1109/3DUI.2013.6550234