An average-degree based method for protein complexes identification

摘要：

In this paper, we propose an average-degree based cluster mining algorithm (ACM) for complexes detection in PPI networks. ACM method contains of three stages. Firstly, we make use of PPI network topology, i.e., average degree, to present a new quantitative function and then present a hierarchical algorithm to identify protein complexes. Finally, post-processing is applied to the predicted results to ensure the accuracy and reliability. We experimentally evaluate the performance of ACM using three different yeast PPI networks. Our results show that ACM is effective and reliable in detecting protein complexes.

作者: Liang Yu Lin Gao Kui Li

作者单位: School of Computer Science and Technology Xidian University Xi’an, China

会议类型: 国际会议

会议名称: The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）