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Volumn 15, Issue 4, 2009, Pages 826-839

Bayesian gene regulatory network inference optimization by means of genetic algorithms

Author keywords

Bayesian network; Gene networks; Genetic algorithms

Indexed keywords


EID: 67650126034     PISSN: 0958695X     EISSN: 09486968     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (4)

References (19)
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    • Chickering, D.: Optimal structure identification with greedy search; The Journal of Machine Learning Research; 3 (2003), 507-554.
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  • 3
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    • A Bayesian method for the induction of probabilistic networks from data
    • Cooper, G., Herskovits, E.: A Bayesian method for the induction of probabilistic networks from data; Machine Learning; 9 (1992), 4, 309-347.
    • (1992) Machine Learning , vol.9 , Issue.4 , pp. 309-347
    • Cooper, G.1    Herskovits, E.2
  • 5
    • 0036207347 scopus 로고    scopus 로고
    • Modeling and Simulation of Genetic Regulatory Systems: A Literature Review
    • de Jong, H.: Modeling and Simulation of Genetic Regulatory Systems: A Literature Review; Journal of Computational Biology; 9 (2002), 1, 67-103.
    • (2002) Journal of Computational Biology; 9 , vol.1 , pp. 67-103
    • de Jong, H.1
  • 6
    • 0037262841 scopus 로고    scopus 로고
    • Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks
    • Friedman, N., Roller, D.: Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks; Machine Learning; 50 (2003), 1, 95-125.
    • (2003) Machine Learning , vol.50 , Issue.1 , pp. 95-125
    • Friedman, N.1    Roller, D.2
  • 10
    • 0036372453 scopus 로고    scopus 로고
    • Estimation of genetic networks and functional structures between genes by using Bayesian networks and nonpara-metric regression
    • Imoto, S., Goto, T., Miyano, S.: Estimation of genetic networks and functional structures between genes by using Bayesian networks and nonpara-metric regression; Pacific Symposium on Biocomputing; volume 7; 175-186; 2002.
    • (2002) Pacific Symposium on Biocomputing , vol.7 , pp. 175-186
    • Imoto, S.1    Goto, T.2    Miyano, S.3
  • 15
    • 0037941585 scopus 로고    scopus 로고
    • Module networks: Identifying regulatory modules and their condition-specific regulators from gene expression data
    • Segal, E., Shapira, M., Regev, A., Pe er, D., Botstein, D., Roller, D., Friedman, N.: Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data; Nature Genetics; 34 (2003), 2, 166-176.
    • (2003) Nature Genetics , vol.34 , Issue.2 , pp. 166-176
    • Segal, E.1    Shapira, M.2    Regev, A.3    Pe er, D.4    Botstein, D.5    Roller, D.6    Friedman, N.7
  • 18
    • 0033076357 scopus 로고    scopus 로고
    • Using Evolutionary Programming and Minimum Description Length Principle for Data Mining of Bayesian Networks
    • Wong, M., Lam, W., Leung, K.: Using Evolutionary Programming and Minimum Description Length Principle for Data Mining of Bayesian Networks; IEEE Transactions On Pattern Analysis And Machine Intelligence; (1999), 174-178.
    • (1999) IEEE Transactions On Pattern Analysis And Machine Intelligence , pp. 174-178
    • Wong, M.1    Lam, W.2    Leung, K.3
  • 19
    • 16844374192 scopus 로고    scopus 로고
    • Using Bayesian Network Inference Algorithms to Recover Molecular Genetic Regulatory Networks
    • 3rd International Conference on Systems Biology
    • Yu, J., Smith, V., Wang, P., Hartemink, A., Jarvis, E.: Using Bayesian Network Inference Algorithms to Recover Molecular Genetic Regulatory Networks; 3rd International Conference on Systems Biology; 2002.
    • (2002)
    • Yu, J.1    Smith, V.2    Wang, P.3    Hartemink, A.4    Jarvis, E.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.