会议专题

An Improved CBA Prediction Algorithm in Compound Pyramid Model

As one of KDTICM8 theory researches, this paper propose an improved algorithm--CBA, which is based on KDD* model and combined with KAAPRO method, for protein secondary structure prediction problem. Further, multi-layer systematic prediction model--Compound Pyramid Model, is proposed. The kernel of this model is CBA which is a classic association rules analysis algorithm. Domain knowledge is used through the model, and the phy-chemical attributes is chosen by Causal Cellular Automation. In experiment, the proteins bias alpha/beta structure are precisely predicted. The structures of amino acids, whose structure are obscure, are predicted well by the improved CBA.Finally, the result of this model is satisfied.

Association Rule Protein secondary structure Prediction Compound Pyramid Model CBA algorithm

Zhou Zhun Yang Bingru Hou Wei

University of Science and Technology Beijing,Information Engineering School,Beijing 100083

国际会议

2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

广西桂林

英文

5176-5180

2009-06-17(万方平台首次上网日期,不代表论文的发表时间)