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Visualization of protein-protein interaction network for knowledge discovery

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4 Author(s)
W. Zhu ; Coll. of Inf. Sci. & Technol., Drexel Univ., Philadelphia, PA, USA ; X. Lin ; X. Hu ; B. A. Sokhansanj

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.

Published in:

2005 IEEE International Conference on Granular Computing  (Volume:1 )

Date of Conference:

25-27 July 2005