TY - GEN
T1 - Using direct and indirect neighbours to predict protein function in GO-evaluated PPI data set
AU - Wang, Miao
AU - Shang, Xuequn
AU - Zhang, Shaohua
AU - Li, Zhanhuai
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - GO
KW - Neighbour counting
KW - PPI
KW - Protein function prediction
UR - http://www.scopus.com/inward/record.url?scp=77954420460&partnerID=8YFLogxK
U2 - 10.1109/IWISA.2010.5473349
DO - 10.1109/IWISA.2010.5473349
M3 - 会议稿件
AN - SCOPUS:77954420460
SN - 9781424458745
T3 - Proceedings - 2010 2nd International Workshop on Intelligent Systems and Applications, ISA 2010
BT - Proceedings - 2010 2nd International Workshop on Intelligent Systems and Applications, ISA 2010
T2 - 2nd International Workshop on Intelligent Systems and Applications, ISA2010
Y2 - 22 May 2010 through 23 May 2010
ER -