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Visualization of protein-protein interaction network for knowledge discovery
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1860/1529
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| Title: | Visualization of protein-protein interaction network for knowledge discovery |
| Authors: | Zhu, Weizhong
Lin, Xia
Hu, Xiaohua
Sokhansanj, Bahrad A. |
| Keywords: | knowledge discovery
protein-protein interaction network
information visualization |
| Issue Date: | 2005 |
| Publisher: | IEEE Institute of Electrical and Electronics Engineers |
| Citation: | Paper presented at the 2006 IEEE International Conference on Granular Computing, Atlanta, GA. |
| Abstract: | A new visualization tool, called "Visual Concept
Explorer (VCE)", was developed to visualize concept relationships
in bio-medical literatura VCE integrates Pathfinder Network
Scaling and Kohonen Self-organizing Feature Map Algorithm for
visual mapping. As a case study, VCE was applied to visualize a
chromatin protein-protein interaction (PPI) network The mapping
results demonstrated that VCE could explore the semantic structure
and latent domain knowledge hidden in protein-protein interaction
data sets generatedfrom bio-medical literature. |
| URI: | http://dx.doi.org/10.1109/GRC.2005.1547307
http://hdl.handle.net/1860/1529 |
| Appears in Collections: | Faculty Research and Publications (IST)
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