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Volumn , Issue , 2002, Pages 1489-1496

A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; BIOMOLECULES; MARKOV PROCESSES;

EID: 85156186944     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (11)
  • 1
    • 0002759539 scopus 로고
    • Unsupervised learning of multiple motifs in biopolymers using EM
    • T. L. Bailey and C. Elkan. Unsupervised learning of multiple motifs in biopolymers using EM. Machine Learning, 21:51-80, 1995.
    • (1995) Machine Learning , vol.21 , pp. 51-80
    • Bailey, T. L.1    Elkan, C.2
  • 6
    • 34249761849 scopus 로고
    • Learning Bayesian networks: the combination of knowledge and statistics data
    • D. Heckerman, D. Geiger, and D. M. Chickering. Learning Bayesian networks: the combination of knowledge and statistics data. Machine Learning, 20:197-243, 1995.
    • (1995) Machine Learning , vol.20 , pp. 197-243
    • Heckerman, D.1    Geiger, D.2    Chickering, D. M.3
  • 7
    • 0025320805 scopus 로고
    • An expectation maximization (EM) algorithm for the identification and characterization of common sites in unaligned biopolymer sequences
    • C. Lawrence and A. Reilly. An expectation maximization (EM) algorithm for the identification and characterization of common sites in unaligned biopolymer sequences. Proteins, 7:41-51, 1990.
    • (1990) Proteins , vol.7 , pp. 41-51
    • Lawrence, C.1    Reilly, A.2
  • 9
    • 84898980795 scopus 로고    scopus 로고
    • Bioprospector: Discovering conserved DNA motifs in upstream regulatory regions of co-expressed genes
    • J. Liu, X. Liu, and D.L. Brutlag. Bioprospector: Discovering conserved DNA motifs in upstream regulatory regions of co-expressed genes. In Proc. of PSB, 2001.
    • (2001) Proc. of PSB
    • Liu, J.1    Liu, X.2    Brutlag, D.L.3
  • 10
    • 84950424966 scopus 로고
    • Bayesian models for multiple local sequence alignment and Gibbs sampling strategies
    • J.S. Liu, A.F. Neuwald, and C.E. Lawrence. Bayesian models for multiple local sequence alignment and Gibbs sampling strategies. J. Amer. Statistical Assoc, 90:1156-1169, 1995.
    • (1995) J. Amer. Statistical Assoc , vol.90 , pp. 1156-1169
    • Liu, J.S.1    Neuwald, A.F.2    Lawrence, C.E.3
  • 11
    • 0037154247 scopus 로고    scopus 로고
    • Deciphering genetic regulatory codes: A challenge for functional genomics
    • A. M. Michelson. Deciphering genetic regulatory codes: A challenge for functional genomics. Proc. Natl. Acad. Sci. USA, 99:546-548, 2002.
    • (2002) Proc. Natl. Acad. Sci. USA , vol.99 , pp. 546-548
    • Michelson, A. M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.