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Volumn 157, Issue 10, 2009, Pages 2285-2295

Inference of an oscillating model for the yeast cell cycle

Author keywords

Bayesian regularization; Cell cycle; Gene regulatory network; Ordinary differential equations; Oscillations; Saccharomyces cerevisiae

Indexed keywords

BAYESIAN REGULARIZATION; CELL CYCLE; GENE REGULATORY NETWORK; OSCILLATIONS; SACCHAROMYCES CEREVISIAE;

EID: 67349095642     PISSN: 0166218X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dam.2008.06.036     Document Type: Article
Times cited : (4)

References (27)
  • 3
    • 29444455715 scopus 로고    scopus 로고
    • Cell-cycle control of gene expression in budding and fission yeast
    • Bähler J. Cell-cycle control of gene expression in budding and fission yeast. Annu. Rev. Genet. 39 (2005) 69-94
    • (2005) Annu. Rev. Genet. , vol.39 , pp. 69-94
    • Bähler, J.1
  • 4
    • 13844253637 scopus 로고    scopus 로고
    • A Bayesian approach to reconstructing genetic regulatory networks with hidden factors
    • Beal M., Falciani F., Ghahramani Z., Rangel C., and Wild D.L. A Bayesian approach to reconstructing genetic regulatory networks with hidden factors. Bioinformatics 21 3 (2005) 349-356
    • (2005) Bioinformatics , vol.21 , Issue.3 , pp. 349-356
    • Beal, M.1    Falciani, F.2    Ghahramani, Z.3    Rangel, C.4    Wild, D.L.5
  • 5
    • 15944361900 scopus 로고    scopus 로고
    • Informative structure priors: Joint learning of dynamic regulatory networks from multiple types of data
    • A. Bernard, A.J. Hartemink, Informative structure priors: Joint learning of dynamic regulatory networks from multiple types of data, in: Pac. Symp. Biocomp., 2005, pp. 459-470
    • (2005) Pac. Symp. Biocomp , pp. 459-470
    • Bernard, A.1    Hartemink, A.J.2
  • 6
    • 0036803078 scopus 로고    scopus 로고
    • A model of periodic oscillation for genetic regulatory systems
    • Chen L., and Aihara K. A model of periodic oscillation for genetic regulatory systems. IEEE Trans. Circuits Syst. I-Regul. Pap. 49 10 (2002) 1429-1436
    • (2002) IEEE Trans. Circuits Syst. I-Regul. Pap. , vol.49 , Issue.10 , pp. 1429-1436
    • Chen, L.1    Aihara, K.2
  • 8
    • 0032611513 scopus 로고    scopus 로고
    • Modeling gene expression with differential equations
    • T. Chen, H.L. He, G.M. Church, Modeling gene expression with differential equations, in: Pac. Symp. Biocomp., 1999, pp. 29-40
    • (1999) Pac. Symp. Biocomp , pp. 29-40
    • Chen, T.1    He, H.L.2    Church, G.M.3
  • 9
    • 0002194865 scopus 로고    scopus 로고
    • Positive and negative circuits in dynamical systems
    • Gouzé J.L. Positive and negative circuits in dynamical systems. J. Biol. Syst. 6 21 (1998) 11-15
    • (1998) J. Biol. Syst. , vol.6 , Issue.21 , pp. 11-15
    • Gouzé, J.L.1
  • 10
    • 0003478288 scopus 로고
    • Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields
    • New York
    • J. Guckenheimer, P. Holmes, Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields, Springer Series, New York, 1983
    • (1983) Springer Series
    • Guckenheimer, J.1    Holmes, P.2
  • 11
    • 0001176145 scopus 로고
    • Systems of differential equations that are competitive or cooperative II: Convergence almost everywhere
    • Hirsch M.W. Systems of differential equations that are competitive or cooperative II: Convergence almost everywhere. SIAM J. Math. Anal. 16 3 (1985) 423-439
    • (1985) SIAM J. Math. Anal. , vol.16 , Issue.3 , pp. 423-439
    • Hirsch, M.W.1
  • 12
    • 54249116230 scopus 로고
    • Genetic regulatory mechanisms in the synthesis of proteins
    • Jacob F., and Monod J. Genetic regulatory mechanisms in the synthesis of proteins. J. Mol. Biol. 3 (1961) 318-356
    • (1961) J. Mol. Biol. , vol.3 , pp. 318-356
    • Jacob, F.1    Monod, J.2
  • 14
    • 33745605205 scopus 로고    scopus 로고
    • CASPAR: A hierarchical bayesian approach to predict survival times in cancer from gene expression data
    • Kaderali L., Zander T., Faigle U., Wolf J., Schultze J.L., and Schrader R. CASPAR: A hierarchical bayesian approach to predict survival times in cancer from gene expression data. Bioinformatics 22 12 (2006) 1495-1502
    • (2006) Bioinformatics , vol.22 , Issue.12 , pp. 1495-1502
    • Kaderali, L.1    Zander, T.2    Faigle, U.3    Wolf, J.4    Schultze, J.L.5    Schrader, R.6
  • 15
    • 0014489272 scopus 로고
    • Metabolic stability and epigenesis in randomly constructed genetic nets
    • Kauffmann S. Metabolic stability and epigenesis in randomly constructed genetic nets. J. Theoret. Biol. 22 (1969) 437-467
    • (1969) J. Theoret. Biol. , vol.22 , pp. 437-467
    • Kauffmann, S.1
  • 19
    • 2442703194 scopus 로고    scopus 로고
    • Finding optimal models for small gene networks
    • S. Ott, S. Imoto, S. Miyano, Finding optimal models for small gene networks, in: Pac. Symp. Biocomp., vol. 9, 2004, pp. 557-567
    • (2004) Pac. Symp. Biocomp , vol.9 , pp. 557-567
    • Ott, S.1    Imoto, S.2    Miyano, S.3
  • 21
    • 33750425792 scopus 로고    scopus 로고
    • Systematic component selection for gene-network refinement
    • Radde N., Gebert J., and Forst C.V. Systematic component selection for gene-network refinement. Bioinformatics 22 21 (2006) 2674-2680
    • (2006) Bioinformatics , vol.22 , Issue.21 , pp. 2674-2680
    • Radde, N.1    Gebert, J.2    Forst, C.V.3
  • 22
    • 34548060998 scopus 로고    scopus 로고
    • Bayesian inference of gene regulatory networks using gene expression time series data
    • BIRD 2007. Hochreiter S., and Wagner R. (Eds)
    • Radde N., and Kaderali L. Bayesian inference of gene regulatory networks using gene expression time series data. In: Hochreiter S., and Wagner R. (Eds). BIRD 2007. LNBI Lecture Notes in Bioinformatics vol. 4414 (2007) 1-15
    • (2007) LNBI Lecture Notes in Bioinformatics , vol.4414 , pp. 1-15
    • Radde, N.1    Kaderali, L.2
  • 23
    • 25144501141 scopus 로고    scopus 로고
    • A Bayesian regression approach to the inference of regulatory networks from gene expression data
    • Rogers S., and Girolami M. A Bayesian regression approach to the inference of regulatory networks from gene expression data. Bioinformatics 21 4 (2005) 3131-3137
    • (2005) Bioinformatics , vol.21 , Issue.4 , pp. 3131-3137
    • Rogers, S.1    Girolami, M.2
  • 24
    • 0031742022 scopus 로고    scopus 로고
    • Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization
    • Spellman P.T. Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization. Mol. Biol. Cell 9 (1998) 3273-3297
    • (1998) Mol. Biol. Cell , vol.9 , pp. 3273-3297
    • Spellman, P.T.1
  • 25
    • 0000915688 scopus 로고
    • On the relation between the logical structure of systems and their ability to generate multiple steady states or sustained oscillations
    • Thomas R. On the relation between the logical structure of systems and their ability to generate multiple steady states or sustained oscillations. Springer Series in Synergetics vol. 9 (1981) 180-193
    • (1981) Springer Series in Synergetics , vol.9 , pp. 180-193
    • Thomas, R.1
  • 26
    • 67349262683 scopus 로고    scopus 로고
    • Biochemical oscillations
    • Computational Cell Biology. Fall C.P., Marland E.S., Wagner J.M., and Tyson J.J. (Eds)
    • Tyson J.J. Biochemical oscillations. Computational Cell Biology. In: Fall C.P., Marland E.S., Wagner J.M., and Tyson J.J. (Eds). Springer Series (2005)
    • (2005) Springer Series
    • Tyson, J.J.1
  • 27
    • 0014974440 scopus 로고
    • On the relation between effector concentration and the rate of induced enzyme synthesis
    • Yagil G., and Yagil E. On the relation between effector concentration and the rate of induced enzyme synthesis. J. Biophys. 11 1 (1971) 11-27
    • (1971) J. Biophys. , vol.11 , Issue.1 , pp. 11-27
    • Yagil, G.1    Yagil, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.