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Volumn 80, Issue 11, 2000, Pages 1629-1641

Chromosome identification using hidden Markov models: Comparison with neural networks, singular value decomposition, principal components analysis, and fisher discriminant analysis

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; CHROMOSOME G BAND; CHROMOSOME IDENTIFICATION; DISCRIMINANT ANALYSIS; INTERMETHOD COMPARISON; MATHEMATICAL MODEL; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PROBABILITY; TELOMERE;

EID: 0033729744     PISSN: 00236837     EISSN: None     Source Type: Journal    
DOI: 10.1038/labinvest.3780173     Document Type: Article
Times cited : (17)

References (29)
  • 1
    • 84965063004 scopus 로고
    • An inequality with applications to statistical estimation for probabilistic functions of a Markov process and to a model for ecology
    • (1967) Bull Am Math Soc , vol.73 , pp. 360-363
    • Baum, L.E.1    Eagon, J.A.2
  • 8
    • 0025022488 scopus 로고
    • Automatically inferred Markov network models for classification of chromosomal band pattern structures
    • (1990) Cytometry , vol.11 , pp. 26-39
    • Granum, E.1    Thomason, M.G.2
  • 12
    • 0029364907 scopus 로고
    • Training neural networks by means of genetic algorithms working on very long chromosomes
    • (1995) Int J Neural Syst , vol.6 , pp. 299-316
    • Korning, P.G.1
  • 21
    • 0024564366 scopus 로고
    • On fully automated feature measurement for banded chromosome classification
    • (1989) Cytometry , vol.10 , pp. 242-255
    • Piper, J.1    Granum, E.2
  • 23
    • 0024610919 scopus 로고
    • A tutorial on hidden Markov models and selected applications in speech recognition
    • (1989) Proc IEEE , vol.77 , pp. 257-285
    • Rabiner, L.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.