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2009 International Conference on Network-Based Information Systems
Visualizing a Correlative Multi-level Graph of Biology Entity Interactions
Indianapolis, Indiana
August 19-August 21
ISBN: 978-0-7695-3767-2
| ASCII Text | x | ||
| Qian You, Shiaofen Fang, Snehasis Mukhopadhyay, Harsha Gopal Goud Vaka, Jake Chen, "Visualizing a Correlative Multi-level Graph of Biology Entity Interactions," 2012 15th International Conference on Network-Based Information Systems, pp. 304-309, 2009 International Conference on Network-Based Information Systems, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/NBiS.2009.37, author = {Qian You and Shiaofen Fang and Snehasis Mukhopadhyay and Harsha Gopal Goud Vaka and Jake Chen}, title = {Visualizing a Correlative Multi-level Graph of Biology Entity Interactions}, journal ={2012 15th International Conference on Network-Based Information Systems}, volume = {0}, year = {2009}, isbn = {978-0-7695-3767-2}, pages = {304-309}, doi = {http://doi.ieeecomputersociety.org/10.1109/NBiS.2009.37}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2012 15th International Conference on Network-Based Information Systems TI - Visualizing a Correlative Multi-level Graph of Biology Entity Interactions SN - 978-0-7695-3767-2 SP304 EP309 A1 - Qian You, A1 - Shiaofen Fang, A1 - Snehasis Mukhopadhyay, A1 - Harsha Gopal Goud Vaka, A1 - Jake Chen, PY - 2009 VL - 0 JA - 2012 15th International Conference on Network-Based Information Systems ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/NBiS.2009.37
In this paper we present a new visualization paradigm to represent and assist the understanding of a correlative multi-level graph, a group of inter-connected networks. Such a graph is formed via term association mining, and the visualization paradigm consists of three components: terrain surface visualization units, terrain surface arrangement, and terrain surface correlation. We apply this paradigm to visualize and explore a pair of correlative core cancer terms network and core gene terms network. The results show that our visualization paradigm design is consistent with the derived associations, and is effective in preserving major features as the landmarks in the terrain surfaces.
Citation:
Qian You, Shiaofen Fang, Snehasis Mukhopadhyay, Harsha Gopal Goud Vaka, Jake Chen, "Visualizing a Correlative Multi-level Graph of Biology Entity Interactions," nbis, pp.304-309, 2009 International Conference on Network-Based Information Systems, 2009
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