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Volumn 7 VOLS, Issue , 2005, Pages 4834-4837

Gene networks inference from expression data using a recurrent neuro-fuzzy approach

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY SETS; GENES; MOLECULAR BIOLOGY; NEURAL NETWORKS; PROTEINS; YEAST;

EID: 33846910012     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2005.1615554     Document Type: Conference Paper
Times cited : (8)

References (13)
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  • 2
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  • 3
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  • 4
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    • October
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  • 5
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    • REVEAL, a general reverse engineering algorithm for inference of genetic network architectures
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  • 6
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    • Reverse engineering gene networks: Integrating genetic perturbations with dynamical modeling
    • May
    • J. Tegner, M.K.Yeung, J. Hasty, and J.J. Collins, "Reverse engineering gene networks: integrating genetic perturbations with dynamical modeling" Proc. Natl. Acad. Science, vol. 100, pp. 5944-5949, May 2003.
    • (2003) Proc. Natl. Acad. Science , vol.100 , pp. 5944-5949
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  • 7
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    • Using Bayesian networks to analyze expression data
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  • 8
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    • A recurrent self-organizing neural fuzzy inference network
    • July
    • C.-F. Juang and C.-T. Lin, "A recurrent self-organizing neural fuzzy inference network", IEEE Trans. Neural Networks, vol. 10, pp. 828-845, July 1999.
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  • 9
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  • 11
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  • 12
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.