Conference proceeding
Visualization of protein-protein interaction network for knowledge discovery
2005 IEEE International Conference on Granular Computing : Beijing, China, July 25-27, 2005, pp 373-377
2005
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
A new visualization tool, called "Visual Concept Explorer (VCE)", was developed to visualize concept relationships in bio-medical literature. 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 generated from bio-medical literature.
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Details
- Title
- Visualization of protein-protein interaction network for knowledge discovery
- Creators
- Weizhong Zhu - Drexel UniversityXia Lin - Drexel University, Information ScienceXiaohua Hu - Drexel University, Information ScienceBahrad A. Sokhansanj - Drexel University, Electrical and Computer Engineering
- Publication Details
- 2005 IEEE International Conference on Granular Computing : Beijing, China, July 25-27, 2005, pp 373-377
- Conference
- 2005 IEEE International Conference on Granular Computing (Beijing, China, 25 Jul 2005–27 Jul 2005)
- Publisher
- IEEE
- Number of pages
- 5
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science; Electrical and Computer Engineering
- Web of Science ID
- WOS:000232157200085
- Scopus ID
- 2-s2.0-33845322628
- Other Identifier
- 991014632215204721
UN Sustainable Development Goals (SDGs)
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Source: SDGs in the Output
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Theory & Methods