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Volumn 5780 LNBI, Issue , 2009, Pages 113-124

Avoiding spurious feedback loops in the reconstruction of gene regulatory networks with dynamic bayesian networks

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX BIOLOGICAL SYSTEMS; DYNAMIC BAYESIAN NETWORK; FEED-BACK LOOP; GENE REGULATORY NETWORKS; GENERALISATION; MIXTURE MODEL; NON-LINEAR; STABLE CONTROL;

EID: 70349883937     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04031-3_11     Document Type: Conference Paper
Times cited : (2)

References (14)
  • 1
    • 0033707946 scopus 로고    scopus 로고
    • Using Bayesian networks to analyze expression data
    • DOI 10.1089/106652700750050961
    • Friedman, N., Linial, M., Nachman, I., Pe'er, D.: Using Bayesian networks to analyze expression data. Journal of Computational Biology 7, 601-620 (2000) (Pubitemid 30944025)
    • (2000) Journal of Computational Biology , vol.7 , Issue.3-4 , pp. 601-620
    • Friedman, N.1    Linial, M.2    Nachman, I.3    Pe'er, D.4
  • 2
    • 34249832377 scopus 로고
    • A Bayesian method for the induction of probabilistic networks from data
    • Cooper, G.F., Herskovits, E.: A Bayesian method for the induction of probabilistic networks from data. Machine Learning 9, 309-347 (1992)
    • (1992) Machine Learning , vol.9 , pp. 309-347
    • Cooper, G.F.1    Herskovits, E.2
  • 6
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • Schwarz, G.: Estimating the dimension of a model. Annals of Statistics 6(2), 461 464 (1978)
    • (1978) Annals of Statistics , vol.6 , Issue.2 , pp. 461-464
    • Schwarz, G.1
  • 7
    • 34249673263 scopus 로고    scopus 로고
    • Bayesian finite mixtures with an unknown number of components: The allocation sampler
    • Nobile, A., Fearnside, A.T.: Bayesian finite mixtures with an unknown number of components: The allocation sampler. Statistics and Computing 17(2), 147-162 (2007)
    • (2007) Statistics and Computing , vol.17 , Issue.2 , pp. 147-162
    • Nobile, A.1    Fearnside, A.T.2
  • 8
    • 51749112494 scopus 로고    scopus 로고
    • Modelling non-stationary gene regulatory processes with a non-homogeneous Bayesian network and the allocation sampler
    • Grzegorczyk, M., Husmeier, D., Edwards, K.D., Ghazal, P., Millar, A.J.: Modelling non-stationary gene regulatory processes with a non-homogeneous Bayesian network and the allocation sampler. Bioinformatics 24, 2071-2078 (2008)
    • (2008) Bioinformatics , vol.24 , pp. 2071-2078
    • Grzegorczyk, M.1    Husmeier, D.2    Edwards, K.D.3    Ghazal, P.4    Millar, A.J.5
  • 9
  • 10
    • 77956889087 scopus 로고
    • Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
    • Green, P.J.: Reversible jump Markov chain Monte Carlo computation and Bayesian model determination. Biometrika 82(4), 711-732 (1995)
    • (1995) Biometrika , vol.82 , Issue.4 , pp. 711-732
    • Green, P.J.1
  • 11
    • 84972492387 scopus 로고
    • Inference from iterative simulation using multiple sequences
    • Gelman, A., Rubin, D.B.: Inference from iterative simulation using multiple sequences. Statistical Science 7(4), 457-472 (1992)
    • (1992) Statistical Science , vol.7 , Issue.4 , pp. 457-472
    • Gelman, A.1    Rubin, D.B.2
  • 14
    • 46049101810 scopus 로고    scopus 로고
    • Gene regulatory network reconstruction by Bayesian integration of prior knowledge and/or different experimental conditions.
    • Werhli, A.V., Husmeier, D.: Gene regulatory network reconstruction by Bayesian integration of prior knowledge and/or different experimental conditions. Journal of Bioinformatics and Computational Biology 6(3), 543-572 (2008)
    • (2008) Journal of Bioinformatics and Computational Biology , vol.6 , Issue.3 , pp. 543-572
    • Werhli, A.V.1    Husmeier, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.