Application of Improved K-mean Clustering in Predicting Protein-Protein Interactions

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	Similar Articles Articles by Pingping Sun Articles by Yanan Ma Articles by Yazhuo Wei Articles by Zhiqiang Ma Articles by Linying Lu Articles by Ying Cui Articles by Ping Huang

2008 International Conference on BioMedical Engineering and Informatics

May 27-May 30

ISBN: 978-0-7695-3118-2

	ASCII Text	x
	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.

	BibTex	x
	@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	x
	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 -

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.82

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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