Prediction of Protein Secondary Structure Using the Hierarchical Competitive Covering Networks Based on Quotient Space

摘要：

In this paper, the algorithm of a kind of hierarchical competitive covering networks for the classification problems is proposed based on the quotient space theory, which defines granularity according to Huffman coding. Not only three classes of secondary structure but also eight classes are discussed for the protein. Instances show that this kind of networks improves the sorting ability of covering net works, the algorithm is feasible and high performing, Moreover different encoding method lead different prediction accuracy, the code contains more information of protein structure can obtain higher prediction precision.

关键词： Protein Secondary Structure Neural Network hierarchical competitive covering networks Quotient Space Huffman coding

作者: Junjun MAO Rong Cheng Tao WU Xueyou Zhang

作者单位: School of Mathematical Science,Anhui University,Hefei,230039,R.P.China Key Lab IC&SP,Anhui Universit School of Mathematical Science,Anhui University,Hefei,230039,R.P.China School of Mathematical Science,Anhui University,Hefei,230039,R.P.China Key Lab IC&SP,Anhui Universit

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）