Conference proceeding
Protein functional module detection based on closely associated degree
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings
01 Dec 2013
Abstract
Conference Title: 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Conference Start Date: 2013, Dec. 18 Conference End Date: 2013, Dec. 21 Conference Location: Shanghai, China Density modularity can overcome this defect, but it use Simulated Annealing (SA) algorithm to search the maximal density modularity, which can't ensure to rapidly search the global optimal solution of problem. Based on this consideration, we propose a Closely Associated Degree (CAD) algorithm to discover protein functional module which continuously improve density modularity of PPI network. CAD first analyze the associated degree of protein node, then join it into the maximal associated degree module. When all modular structure are stable, CAD merges the pair of module that can bring the maximum increment of density modularity. This process is continually repeated that make density modularity to grow rapidly. Experimental results show that the CAD algorithm can effectively and accurately identify protein functional modules with biological significance in large-scale PPI network. [PUBLICATION ABSTRACT]
Metrics
1 Record Views
Details
- Title
- Protein functional module detection based on closely associated degree
- Creators
- Xianjun ShenXiaohui ChenRui XuTingting HeJincai YangXiaohua Hu
- Publication Details
- The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings
- Publisher
- The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Identifiers
- 991019170454804721