Title :
Visualization of protein-protein interaction network for knowledge discovery
Author :
Zhu, Weizhong ; Lin, Xia ; Hu, Xiaohua ; Sokhansanj, Bahrad A.
Author_Institution :
Coll. of Inf. Sci. & Technol., Drexel Univ., Philadelphia, PA, USA
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.
Keywords :
biology computing; data mining; data visualisation; proteins; self-organising feature maps; semantic networks; Kohonen self-organizing feature map algorithm; Visual Concept Explorer; biomedical literature; chromatin protein-protein interaction network visualization; knowledge discovery; pathfinder network scaling; semantic structure; visual mapping; Clustering algorithms; Data mining; Data visualization; Engineering profession; Frequency; Fungi; Information science; Neurons; Proteins; Proteomics; information visualization; knowledge discovery; protein-protein interaction network;
Conference_Titel :
Granular Computing, 2005 IEEE International Conference on
Print_ISBN :
0-7803-9017-2
DOI :
10.1109/GRC.2005.1547307
