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Volumn 2, Issue 4, 2005, Pages 524-533

Evolutionary fuzzy clustering algorithm with knowledge-based evaluation and applications for gene expression profiling

Author keywords

Evolutionary fuzzy clustering; Gene expression profiles; Knowledge based evaluation; Microarray data analysis

Indexed keywords

DATA REDUCTION; EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS; KNOWLEDGE BASED SYSTEMS; MATHEMATICAL MODELS;

EID: 30744477944     PISSN: 15461955     EISSN: None     Source Type: Journal    
DOI: 10.1166/jctn.2005.007     Document Type: Article
Times cited : (28)

References (24)
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    • Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays
    • U. Alon, N. Barkai, D. A. Notterman, K. Gish, S. Ybarra, D. Mack, and A. J. Levine, Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. Proc. Natl. Acad. Sci. USA 96, 6745 (1999).
    • (1999) Proc. Natl. Acad. Sci. USA , vol.96 , pp. 6745
    • Alon, U.1    Barkai, N.2    Notterman, D.A.3    Gish, K.4    Ybarra, S.5    Mack, D.6    Levine, A.J.7
  • 8
    • 0002317960 scopus 로고
    • Genetic algorithm for clustering with an ordered representation
    • J. N. Bhuyan et al., Genetic algorithm for clustering with an ordered representation. Proc. 4th Int. Conf. Genetic Algorithms (1991), pp. 408-415.
    • (1991) Proc. 4th Int. Conf. Genetic Algorithms , pp. 408-415
    • Bhuyan, J.N.1
  • 9
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    • 17044389668 scopus 로고    scopus 로고
    • Analyzing fuzzy partitions of Saccharomyces cerevisiae cell-cycle gene expression data by Bayesian validation method
    • S.-H. Yoo et al., Analyzing fuzzy partitions of Saccharomyces cerevisiae cell-cycle gene expression data by Bayesian validation method. Proc. of the 2004 IEEE Symposium on CIBCB (2004), pp. 116-122.
    • (2004) Proc. of the 2004 IEEE Symposium on CIBCB , pp. 116-122
    • Yoo, S.-H.1
  • 16
    • 0033281326 scopus 로고    scopus 로고
    • A new method for avoiding abnormal conclusion for α-cut based rule interpolation
    • Seoul, Korea
    • P. Baranyi, D. Tikk, Y. Yam, L. T. Koczy, and L. Nadai, A new method for avoiding abnormal conclusion for α-cut based rule interpolation. 8th IEEE Int. Conf on Fuzzy Systems, Seoul, Korea (1999), pp. 383-388.
    • (1999) 8th IEEE Int. Conf on Fuzzy Systems , pp. 383-388
    • Baranyi, P.1    Tikk, D.2    Yam, Y.3    Koczy, L.T.4    Nadai, L.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.