DNA splice site sequences clustering method for conservativeness analysis

Progress in Natural Science

Volumn 19, Issue 4, 2009, Pages 511-516

  Zhang, Quanwei ^a   Peng, Qinke ^a   Xu, Tao ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Bioinformatics processing; Clustering; DBSCAN; Splice site

Indexed keywords

CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; DNA SEQUENCES;

BIOINFORMATIC PROCESSING; CALCULATING METHODS; CLUSTERING METHODS; CLUSTERING RESULTS; CLUSTERINGS; DATA SET; DBSCAN; SEQUENCE CLUSTERING; SPLICE SITE;

DNA;

EID: 65249103418     PISSN: 10020071     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.pnsc.2008.06.021     Document Type: Article

References (14)

1. Ogura H, Agata H, Xie M, et al. A study of learning splice sites of DNA sequence by neural networks. Comput Biol Med 1997;27(1):67-75.
2. Cai D, Delcher A, Kao B, et al. Modeling DNA sequences with Bayes network. Bioinformations 2000; 16(2): 152-8.
3. Ho LS, Rajapakse JC. Splice site detection with higher-order Markov model implemented on a neural networks. Genome Inform 2003;14:64-72.
4. Sun YF, Fan XD, Li YD. Identifying splicing sites in eukaryotic RNA: support vector machine approach. Comput Biol Med 2003;33:17-29.
5. Wu SH, Liew AWC, Yan H, et al. Cluster analysis of gene expression data based on self-splitting and merging competitive learning. IEEE Trans Inform Technol Biomed 2004;8(1):5-15.
6. Kogan J, Nicholas C, Volkovich V. Text mining with information-theoretic clustering. Comput Sci Eng 2003;5(6):52-9.
7. Loia V, Pedrycz W, Senatore S. Semantic web content analysis: a study in proximity-based collaborative clustering. IEEE Trans Fuzzy Syst 2007;15(6):1294-312.
8. Goldberger J, Shiri G, Greenspan H. Unsupervised image-set clustering using an information theoretic framework. IEEE Trans Image Process 2005;15(2):449-58.
9. Eisen M, Spellman PT, Brown PO, et al. Cluster analysis and display of genome wide expression patterns. Proc Natl Acad Sci USA 1998;95:14863-8.
10. Tan GM, Feng SZ, Sun NH. Load balancing algorithm in cluster-based RNA secondary structure prediction. In: Proceedings of the 4th international symposium on parallel and distributed computing, July 4-6, Lille, France; 2005. p. 91-6.
11. Thanakorn N, Robert A, Bress RA, et al. DNA classifications with self-organizing maps (SOMs). In: Proceedings of IEEE international workshop on soft computing in industrial applications, June 23-25, Binghamton University, Binghamton, New York; 2003. p. 151-4.
12. Brun C, Herrman C, Guenoche A. Clustering proteins from interaction networks for the prediction of cellular functions. BMC Bioinform 2004;5(1):95.
13. Liu B. A fast density-based clustering algorithm for large databases. In: Proceedings of the fifth international conference on machine learning and cybernetics, August 13-16, Dalan, China; 2006. p. 996-1000.
14. Jiao D, Gu M, Fu J, et al. A sequence feature based searching system for nucleotide database. Chin J Biomed Eng 2006;25(6):694-9.