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Volumn 2810, Issue , 2003, Pages 418-429

Gaussian mixture density estimation applied to microarray data

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; GAUSSIAN DISTRIBUTION;

EID: 26444547060     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-45231-7_39     Document Type: Article
Times cited : (6)

References (13)
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  • 2
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    • Zipf's law in importance of genes for cancer classification using microarray data
    • Li, W., Yang, Y.: Zipf's law in importance of genes for cancer classification using microarray data. J Theor Biol 219 (2002) 539-551
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  • 3
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    • Making sense of microarray data distributions
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    • Hoyle, D.C.1    Rattray, M.2    Jupp, R.3    Brass, A.4
  • 5
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm
    • Dempster, A.P., Laird, N.M., Rubin, D.B.: Maximum likelihood from incomplete data via the EM algorithm. JRSSB 39 (1977) 1-38
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    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 6
    • 0036203115 scopus 로고    scopus 로고
    • A mixture model-based approach to the clustering of microarray expression data
    • McLachlan, G., Bean, R., Peel, D.: A mixture model-based approach to the clustering of microarray expression data. Bioinformatics 18 (2002) 413-22
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    • McLachlan, G.1    Bean, R.2    Peel, D.3
  • 8
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  • 9
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    • On the convergence of the EM algorithm
    • Boyles, R.A.: On the convergence of the EM algorithm. JRSS B 45 (1983) 47-50
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    • Boyles, R.A.1
  • 10
    • 0004066260 scopus 로고    scopus 로고
    • Wiley Series in Probability and Statistics. Wiley, New York
    • McLachlan, G., Peel, D.: Finite Mixture Models. Wiley Series in Probability and Statistics. Wiley, New York (2000)
    • (2000) Finite Mixture Models
    • McLachlan, G.1    Peel, D.2
  • 11
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    • Estimating the dimension of a model
    • Schwarz, G.: Estimating the dimension of a model. Ann. Stat. 6 (1978) 461-64
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  • 13
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    • Bayesian infinite mixture model based clustering of gene expression profiles
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.