DocumentCode :
2516583
Title :
Prediction of Protein Secondary Structure Using the Hierarchical Competitive Covering Networks Based on Quotient Space
Author :
Mao, Junjun ; Cheng, Rong ; Wu, Tao ; Zhang, Xueyou
Author_Institution :
Sch. of Math. Sci., Anhui Univ., Hefei, China
fYear :
2009
fDate :
11-13 June 2009
Firstpage :
1
Lastpage :
4
Abstract :
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.
Keywords :
bioinformatics; information theory; molecular configurations; pattern classification; proteomics; sorting; Huffman coding; classification problems; covering network sorting ability; hierarchical competitive covering networks; protein secondary structure prediction; quotient space theory; Accuracy; Encoding; Huffman coding; Laboratories; Neural networks; Problem-solving; Proteins; Software; Sorting; Space technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2901-1
Electronic_ISBN :
978-1-4244-2902-8
Type :
conf
DOI :
10.1109/ICBBE.2009.5163215
Filename :
5163215
Link To Document :
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