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28th Annual International Computer Software and Applications Conference - Workshops and Fast Abstracts - (COMPSAC'04)
A Method Based on Improved Bayesian Inference Network Model and Hidden Markov Model for Prediction of Protein Secondary Structure
Hong Kong
September 28-September 30
ISBN: 0-7695-2209-2
ASCII Text
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Guohui Yang, Chunguang Zhou, Chengquan Hu, Zhezhou Yu, Hongji Yang, "A Method Based on Improved Bayesian Inference Network Model and Hidden Markov Model for Prediction of Protein Secondary Structure," Computer Software and Applications Conference, Annual International, vol. 2, pp. 134-137, 28th Annual International Computer Software and Applications Conference - Workshops and Fast Abstracts - (COMPSAC'04), 2004.
 
 
BibTex
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@article{ 10.1109/CMPSAC.2004.1342695,
author = {Guohui Yang and Chunguang Zhou and Chengquan Hu and Zhezhou Yu and Hongji Yang},
title = {A Method Based on Improved Bayesian Inference Network Model and Hidden Markov Model for Prediction of Protein Secondary Structure},
journal ={Computer Software and Applications Conference, Annual International},
volume = {2},
year = {2004},
issn = {0730-3157},
pages = {134-137},
doi = {http://doi.ieeecomputersociety.org/10.1109/CMPSAC.2004.1342695},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer Software and Applications Conference, Annual International
TI - A Method Based on Improved Bayesian Inference Network Model and Hidden Markov Model for Prediction of Protein Secondary Structure
SN - 0730-3157
SP134
EP137
A1 - Guohui Yang,
A1 - Chunguang Zhou,
A1 - Chengquan Hu,
A1 - Zhezhou Yu,
A1 - Hongji Yang,
PY - 2004
KW - amino acid sequence
KW - predicting secondary structure
KW - Bayesian inference network
KW - Hidden Markov Model
VL - 2
JA - Computer Software and Applications Conference, Annual International
ER -
 
Guohui Yang, Jilin University
Chunguang Zhou, Jilin University
Chengquan Hu, Jilin University
Zhezhou Yu, Jilin University
Hongji Yang, De Montfort University
This paper aims at predicting the secondary structure of proteins, which is a complex nonlinear-mode classified problem. It proposes an algorithm which synchronises Bayesian Network and Hidden Markov Model. It refers more neighbouring information of amino acid residue sequences for predicting secondary structure of the protein. Moreover, it discusses data selection, network parameter determination and network performance in searching an algorithm of predicting protein secondary structure. The experimental results show feasibility and validity of the algorithm.
Index Terms:
amino acid sequence, predicting secondary structure, Bayesian inference network, Hidden Markov Model
Citation:
Guohui Yang, Chunguang Zhou, Chengquan Hu, Zhezhou Yu, Hongji Yang, "A Method Based on Improved Bayesian Inference Network Model and Hidden Markov Model for Prediction of Protein Secondary Structure," compsac, vol. 2, pp.134-137, 28th Annual International Computer Software and Applications Conference - Workshops and Fast Abstracts - (COMPSAC'04), 2004
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