Using direct and indirect neighbours to predict protein function in GO-evaluated PPI data set

Miao Wang, Xuequn Shang, Shaohua Zhang, Zhanhuai Li

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

The recent development of high-throughout techniques to generate large volumes of protein-protein interaction(PPI) data, which increased the need for methods that annotate the function of protein. Some methods use indirect method to predict proteins function. However, due to the nature of noise, the relationship between proteins may not be existed in truth. In this paper, we propose a method of protein function prediction in GO-evaluated PPI data set. Firstly, the original PPI data set is evaluated by protein similarity method based on GO. Secondly, we develop an algorithm, FAW, which takes into account both direct and indirect functional association, to predict the function of proteins. Our approach is evaluated on four human PPI data sets. The experimental results show our approach has good performance in terms of efficiency.

源语言英语
主期刊名Proceedings - 2010 2nd International Workshop on Intelligent Systems and Applications, ISA 2010
DOI
出版状态已出版 - 2010
活动2nd International Workshop on Intelligent Systems and Applications, ISA2010 - Wuhan, 中国
期限: 22 5月 201023 5月 2010

出版系列

姓名Proceedings - 2010 2nd International Workshop on Intelligent Systems and Applications, ISA 2010

会议

会议2nd International Workshop on Intelligent Systems and Applications, ISA2010
国家/地区中国
Wuhan
时期22/05/1023/05/10

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