Conference proceeding
A novel protein complex identification algorithm based on gene co-expression (PCIA-GeCo)
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings, 386
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 Recent studies have shown that protein complex is composed of core and attachment proteins, and proteins inside the core are highly co-expressed. Based on this new concept, we reconstruct weighted PPI network by using gene expression data, and develop a novel protein complex identification algorithm from the angle of edge(PCIA-GeCo). First, we select the edge with high co-expressed coefficient as seed to form the preliminary cores. Then, the preliminary cores are filtered according to the weighted density of complex core to obtain the unique core. Finally, the protein complexes are generated by identifying attachment proteins for each core. A comprehensive comparison in term of F-measure, Coverage rate between our method and three other existing algorithms HUNTER, COACH and CORE has been made by comparing the predicted complexes against benchmark complexes. The evaluation results show our method PCIA-GeCo is effective; it can identify protein complexes more accurately. [PUBLICATION ABSTRACT]
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Details
- Title
- A novel protein complex identification algorithm based on gene co-expression (PCIA-GeCo)
- Creators
- Junmin ZhaoXiaohua HuTingting HePeng LiMing ZhangXianjun Shen
- Publication Details
- The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings, 386
- Publisher
- The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Identifiers
- 991019170496604721