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Volumn 44, Issue 1 PART 1, 2011, Pages 11785-11790

Genetic regulatory network identification using monotone functions decomposition

Author keywords

[No Author keywords available]

Indexed keywords

GENE EXPRESSION; LINEAR PROGRAMMING;

EID: 84866762769     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20110828-6-IT-1002.02181     Document Type: Conference Paper
Times cited : (7)

References (14)
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    • August, E.1    Papachristodoulou, A.2
  • 3
    • 33747813561 scopus 로고    scopus 로고
    • The inferelator: An algorithm for learning parsimonious regulatory networks from systems-biology data sets de novo
    • R. Bonneau, D. J. Reiss, P. Shannon, M. Facciotti, L. Hood, N.S. Baliga, and V. Thorsson. The inferelator: an algorithm for learning parsimonious regulatory networks from systems-biology data sets de novo. Genome Biology, 7:R36, 2006.
    • (2006) Genome Biology , vol.7
    • Bonneau, R.1    Reiss, D.J.2    Shannon, P.3    Facciotti, M.4    Hood, L.5    Baliga, N.S.6    Thorsson, V.7
  • 5
    • 39849084368 scopus 로고    scopus 로고
    • The switching threshold reconstruction problem for piecewise affine models of genetic regulatory networks
    • S. Drulhe, G. Ferrari-Trecate, and H. de Jong. The switching threshold reconstruction problem for piecewise affine models of genetic regulatory networks. IEEE Trans.Automatic Control, 53(1):153-165, 2008.
    • (2008) IEEE Trans.Automatic Control , vol.53 , Issue.1 , pp. 153-165
    • Drulhe, S.1    Ferrari-Trecate, G.2    De Jong, H.3
  • 6
    • 0034688173 scopus 로고    scopus 로고
    • A synthetic oscillatory network of transcriptional regulators
    • M. B. Elowitz and S. Leibler. A synthetic oscillatory network of transcriptional regulators. Nature, 403(6767): 335-338, 2000.
    • (2000) Nature , vol.403 , Issue.6767 , pp. 335-338
    • Elowitz, M.B.1    Leibler, S.2
  • 8
    • 0038048325 scopus 로고    scopus 로고
    • Inferring genetic networks and identifying compound mode of action via expression profiling
    • T. S. Gardner, D. di Bernardo, D. Lorenz, and J. J. Collins. Inferring genetic networks and identifying compound mode of action via expression profiling. Science, 301: 102-105, 2003.
    • (2003) Science , vol.301 , pp. 102-105
    • Gardner, T.S.1    Di Bernardo, D.2    Lorenz, D.3    Collins, J.J.4
  • 9
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    • 77952791626 scopus 로고    scopus 로고
    • Identification of genetic network dynamics with unate structure
    • R. Porreca, E. Cinquemani, J. Lygeros, and G. Ferrari- Trecate. Identification of genetic network dynamics with unate structure. Bioinformatics, 26(9):123-1245, 2010.
    • (2010) Bioinformatics , vol.26 , Issue.9 , pp. 123-1245
    • Porreca, R.1    Cinquemani, E.2    Lygeros, J.3    Ferrari- Trecate, G.4
  • 12
    • 4444226267 scopus 로고    scopus 로고
    • Inferring dynamic architecture of cellular networks using time series of gene expression, protein and metabolite data
    • E. Sontag, A. Kiyatkin, and B. N. Kholodenko. Inferring dynamic architecture of cellular networks using time series of gene expression, protein and metabolite data. Bioinformatics, 20(12):1877-1886, 2004.
    • (2004) Bioinformatics , vol.20 , Issue.12 , pp. 1877-1886
    • Sontag, E.1    Kiyatkin, A.2    Kholodenko, B.N.3
  • 13
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    • Reverse engineering gene networks using singular value decomposition and robust regression
    • M. K. S. Yeung, J. Tegner, and J. J. Collins. Reverse engineering gene networks using singular value decomposition and robust regression. Proc. of the National Academy of Science, 99(9):6163-6168, 2002.
    • (2002) Proc. of the National Academy of Science , vol.99 , Issue.9 , pp. 6163-6168
    • Yeung, M.K.S.1    Tegner, J.2    Collins, J.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.