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Application of Improved K-mean Clustering in Predicting Protein-Protein Interactions
May 27-May 30
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.822008 International Conference on BioM ...
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Pingping Sun, Yanan Ma, Yazhuo Wei, Zhiqiang Ma, Linying Lu, Ying Cui, Ping Huang, "Application of Improved K-mean Clustering in Predicting Protein-Protein Interactions," BioMedical Engineering and Informatics, International Conference on, vol. 1, pp. 83-86, 2008 International Conference on BioMedical Engineering and Informatics, 2008.
 
 
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@article{ 10.1109/BMEI.2008.82,
author = {Pingping Sun and Yanan Ma and Yazhuo Wei and Zhiqiang Ma and Linying Lu and Ying Cui and Ping Huang},
title = {Application of Improved K-mean Clustering in Predicting Protein-Protein Interactions},
journal ={BioMedical Engineering and Informatics, International Conference on},
volume = {1},
year = {2008},
isbn = {978-0-7695-3118-2},
pages = {83-86},
doi = {http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.82},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - BioMedical Engineering and Informatics, International Conference on
TI - Application of Improved K-mean Clustering in Predicting Protein-Protein Interactions
SN - 978-0-7695-3118-2
SP83
EP86
A1 - Pingping Sun,
A1 - Yanan Ma,
A1 - Yazhuo Wei,
A1 - Zhiqiang Ma,
A1 - Linying Lu,
A1 - Ying Cui,
A1 - Ping Huang,
PY - 2008
KW - improved K-mean clustering
KW - phylogenetic profile
KW - protein-protein interactions
VL - 1
JA - BioMedical Engineering and Informatics, International Conference on
ER -
 
With the increasing availability of complete genome sequences, there are more excellent opportunity for further research and development of tools for functional studies in proteomics. Phylogenetic profile is a basic non-homology method in functional proteomics. This paper describes the theory of phylogenetic profile, focuses on the improvement of K-mean clustering algorithm in analyzing the protein phylogenetic profile; also compare the method with the traditional K-mean clustering algorithm. The experimental results show that the improved K-mean clustering algorithm is fast and effective; it can quickly converge to the approximate optimal solution.
Index Terms:
improved K-mean clustering, phylogenetic profile, protein-protein interactions
Citation:
Pingping Sun, Yanan Ma, Yazhuo Wei, Zhiqiang Ma, Linying Lu, Ying Cui, Ping Huang, "Application of Improved K-mean Clustering in Predicting Protein-Protein Interactions," bmei, vol. 1, pp.83-86, 2008 International Conference on BioMedical Engineering and Informatics, 2008
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