메뉴 건너뛰기




Volumn 106, Issue 496, 2011, Pages 1242-1258

High-dimensional ODEs coupled with mixed-effects modeling techniques for dynamic gene regulatory network identification

Author keywords

Differential equations; Network graph; Nonparametric; Nonparametric mixed effects; Saccharomyces cerevisiae; Smoothly clipped absolute deviation; Stochastic approximation EM; Time course microarray data; Two stage smoothing based method; Yeast cell cycles

Indexed keywords


EID: 84862970480     PISSN: 01621459     EISSN: None     Source Type: Journal    
DOI: 10.1198/jasa.2011.ap10194     Document Type: Article
Times cited : (75)

References (74)
  • 1
    • 0001445010 scopus 로고    scopus 로고
    • Solving a Class of Linearly Constrained Indefinite Quadratic Problems by DC Algorithms
    • [1246]
    • An, L. T. H., and Tao, P. D. (1997), "Solving a Class of Linearly Constrained Indefinite Quadratic Problems by DC Algorithms," Journal of Global Optimization, 11, 253-285. [1246]
    • (1997) Journal of Global Optimization , vol.11 , pp. 253-285
    • An, L.T.H.1    Tao, P.D.2
  • 2
    • 0030986188 scopus 로고    scopus 로고
    • The Hardwiring of Development: Organization and Function of Genomic Regulatory Systems
    • [1243]
    • Arnone, M. I., and Davidson, E. H. (1997), "The Hardwiring of Development: Organization and Function of Genomic Regulatory Systems," Development, 124, 1851-1864. [1243]
    • (1997) Development , vol.124 , pp. 1851-1864
    • Arnone, M.I.1    Davidson, E.H.2
  • 3
    • 33645307955 scopus 로고    scopus 로고
    • Inference of Gene Regulatory Networks and Compound Mode of Action From Time Course Gene Expression Profiles
    • [1246]
    • Bansal, M., Della Gatta, G., and di Bernardo, D. (2006), "Inference of Gene Regulatory Networks and Compound Mode of Action From Time Course Gene Expression Profiles," Bioinformatics, 22, 815-822. [1246]
    • (2006) Bioinformatics , vol.22 , pp. 815-822
    • Bansal, M.1    della Gatta, G.2    di Bernardo, D.3
  • 4
    • 0003713964 scopus 로고    scopus 로고
    • 2nd ed.), Belmount, MA: Athena Scientific, [1255]
    • Bertsekas, D. P. (1999), Nonlinear Programming (2nd ed.), Belmount, MA: Athena Scientific. [1255]
    • (1999) Nonlinear Programming
    • Bertsekas, D.P.1
  • 5
    • 46249112705 scopus 로고    scopus 로고
    • Boolean Network Models of Cellular Regulation: Prospects and Limitations
    • [1242]
    • Bornholdt, S. (2008), "Boolean Network Models of Cellular Regulation: Prospects and Limitations," Journal of the Royal Society Interface, 5 (Suppl 1), S85-S94. [1242]
    • (2008) Journal of the Royal Society Interface , vol.5 , Issue.SUPPL. 1
    • Bornholdt, S.1
  • 6
    • 0030344230 scopus 로고    scopus 로고
    • Heuristics of Instability and Stabilization in Model Selection
    • [1246]
    • Breiman, L. (1996), "Heuristics of Instability and Stabilization in Model Selection," The Annals of Statistics, 24, 2350-2383. [1246]
    • (1996) The Annals of Statistics , vol.24 , pp. 2350-2383
    • Breiman, L.1
  • 7
    • 0032356568 scopus 로고    scopus 로고
    • Smoothing Spline Models for the Analysis of Nested and Crossed Samples of Curves
    • with discussion, [1244]
    • Brumback, B. A., and Rice, J. A. (1998), "Smoothing Spline Models for the Analysis of Nested and Crossed Samples of Curves" (with discussion), Journal of the American Statistical Association, 93, 961-994. [1244]
    • (1998) Journal of the American Statistical Association , vol.93 , pp. 961-994
    • Brumback, B.A.1    Rice, J.A.2
  • 8
    • 60149088848 scopus 로고    scopus 로고
    • Origins and Mechanisms of miRNAs and siRNAs
    • [1242]
    • Carthew, R. W., and Sontheimer, E. J. (2009), "Origins and Mechanisms of miRNAs and siRNAs," Cell, 136, 642-655.[1242]
    • (2009) Cell , vol.136 , pp. 642-655
    • Carthew, R.W.1    Sontheimer, E.J.2
  • 9
    • 42349101913 scopus 로고    scopus 로고
    • Efficient Local Estimation for Time-Varying Coefficients in Deterministic Dynamic ModelsWith Applications to HIV-1 Dynamics
    • [1244,1245]
    • Chen, J., and Wu, H. (2008a), "Efficient Local Estimation for Time-Varying Coefficients in Deterministic Dynamic ModelsWith Applications to HIV-1 Dynamics," Journal of the American Statistical Association, 103, 369-384. [1244,1245]
    • (2008) Journal of the American Statistical Association , vol.103 , pp. 369-384
    • Chen, J.1    Wu, H.2
  • 10
    • 55349148712 scopus 로고    scopus 로고
    • Estimation of Time-Varying Parameters in Deterministic Dynamic Models
    • [1244,1245]
    • Chen, J., and Wu, H. (2008b), "Estimation of Time-Varying Parameters in Deterministic Dynamic Models," Statistica Sinica, 18, 987-1006. [1244,1245]
    • (2008) Statistica Sinica , vol.18 , pp. 987-1006
    • Chen, J.1    Wu, H.2
  • 11
    • 34547672810 scopus 로고    scopus 로고
    • Bayesian Hierarchical Modleing for Time Course Microarray Experiments
    • [1242]
    • Chi, Y. Y., Ibrahim, J. G., Bissahoyo, A., and Threadgill, D. W. (2007), "Bayesian Hierarchical Modleing for Time Course Microarray Experiments," Biometrics, 63, 496-504. [1242]
    • (2007) Biometrics , vol.63 , pp. 496-504
    • Chi, Y.Y.1    Ibrahim, J.G.2    Bissahoyo, A.3    Threadgill, D.W.4
  • 12
    • 0036207347 scopus 로고    scopus 로고
    • Modeling and Simulation of Genetic Regulatory Systems: A Literature Review
    • [1243, 1248]
    • DeJong, H. (2002), "Modeling and Simulation of Genetic Regulatory Systems: A Literature Review," Journal of Computational Biology, 9, 67-103. [1243, 1248]
    • (2002) Journal of Computational Biology , vol.9 , pp. 67-103
    • Dejong, H.1
  • 13
    • 0033243858 scopus 로고    scopus 로고
    • Convergence of a Stochastic Approximation Version of the EM Algorithm
    • [1244,1247]
    • Delyon, B., Lavielle, M., and Moulines, E. (1999), "Convergence of a Stochastic Approximation Version of the EM Algorithm," The Annals of Statistics, 27, 94-128. [1244,1247]
    • (1999) The Annals of Statistics , vol.27 , pp. 94-128
    • Delyon, B.1    Lavielle, M.2    Moulines, E.3
  • 14
    • 0032612220 scopus 로고    scopus 로고
    • Linear Modeling of mRNA Expression Levels During CNS Development and Injury
    • [1246]
    • D'Haeseleer, P., Wen, X., Fuhrman, S., and Somogyi, R. (1999), "Linear Modeling of mRNA Expression Levels During CNS Development and Injury," Pacific Symposium on Biocomputing, 4, 41-52. [1246]
    • (1999) Pacific Symposium On Biocomputing , vol.4 , pp. 41-52
    • D'haeseleer, P.1    Wen, X.2    Fuhrman, S.3    Somogyi, R.4
  • 15
    • 34047196801 scopus 로고    scopus 로고
    • Estimation of Parameters in Incomplete Data Models Defined by Dynamical Systems
    • [1244,1247]
    • Donnet, S., and Samson, A. (2007), "Estimation of Parameters in Incomplete Data Models Defined by Dynamical Systems," Journal of Statistical Planning and Inference, 137, 2815-2831. [1244,1247]
    • (2007) Journal of Statistical Planning and Inference , vol.137 , pp. 2815-2831
    • Donnet, S.1    Samson, A.2
  • 16
    • 1542784498 scopus 로고    scopus 로고
    • Variable Selection via Nonconcave Penalized Likelihood and Its Oracle Properties
    • [1244-1246]
    • Fan, J., and Li, R. (2001), "Variable Selection via Nonconcave Penalized Likelihood and Its Oracle Properties," Journal of the American Statistical Association, 96, 1348-1360. [1244-1246]
    • (2001) Journal of the American Statistical Association , vol.96 , pp. 1348-1360
    • Fan, J.1    Li, R.2
  • 17
    • 84952149204 scopus 로고
    • A Statistical View of Some Chemometrics Regression Tools
    • with discussion, [1246]
    • Frank, I., and Friedman, J. (1993), "A Statistical View of Some Chemometrics Regression Tools" (with discussion), Technometrics, 35, 109-148. [1246]
    • (1993) Technometrics , vol.35 , pp. 109-148
    • Frank, I.1    Friedman, J.2
  • 19
    • 0034069495 scopus 로고    scopus 로고
    • Gene Ontology: Tool for the Unification of Biology
    • Gene Ontology Consortium, [1247,1248]
    • Gene Ontology Consortium (2000), "Gene Ontology: Tool for the Unification of Biology," Nature Genetics, 25, 25-29. [1247,1248]
    • (2000) Nature Genetics , vol.25 , pp. 25-29
  • 21
    • 23744488295 scopus 로고    scopus 로고
    • Optimal Smoothing in Nonparametric Mixed-Effect Models
    • [1244]
    • Gu, C., and Ma, P. (2005), "Optimal Smoothing in Nonparametric Mixed-Effect Models," The Annals of Statistics, 33, 1357-1379. [1244]
    • (2005) The Annals of Statistics , vol.33 , pp. 1357-1379
    • Gu, C.1    Ma, P.2
  • 22
    • 0035221560 scopus 로고    scopus 로고
    • Using Graphical Models and Genomic Expression Data to Statistically Validate Models of Genetic Regulatory Networks
    • [1242]
    • Hartemink, A., Gifford, D., Jaakkola, T., and Young, R. (2001), "Using Graphical Models and Genomic Expression Data to Statistically Validate Models of Genetic Regulatory Networks," Pacific Symposium on Biocomputing, 6, 422-433. [1242]
    • (2001) Pacific Symposium On Biocomputing , vol.6 , pp. 422-433
    • Hartemink, A.1    Gifford, D.2    Jaakkola, T.3    Young, R.4
  • 23
    • 33645507298 scopus 로고    scopus 로고
    • A Quantitative Study of Gene Regulation Involved in The Immune Response of Anopheline Mosquitoes: An Application of Bayesian Hierarchical Clustering of Curves
    • [1242]
    • Heard, N. A., Holmes, C. C., and Stephens, D. A. (2006), "A Quantitative Study of Gene Regulation Involved in The Immune Response of Anopheline Mosquitoes: An Application of Bayesian Hierarchical Clustering of Curves," Journal of the American Statistical Association, 101, 18-29. [1242]
    • (2006) Journal of the American Statistical Association , vol.101 , pp. 18-29
    • Heard, N.A.1    Holmes, C.C.2    Stephens, D.A.3
  • 24
    • 61349180117 scopus 로고    scopus 로고
    • Gene Regulatory Network Inference: Data Integration in Dynamic Models-a Review
    • [1242]
    • Hecker, M., Lambeck, S., Toepfer, S., van Someren, E., and Guthke, R. (2009), "Gene Regulatory Network Inference: Data Integration in Dynamic Models-a Review," Biosystems, 96, 86-103. [1242]
    • (2009) Biosystems , vol.96 , pp. 86-103
    • Hecker, M.1    Lambeck, S.2    Toepfer, S.3    van Someren, E.4    Guthke, R.5
  • 26
    • 41349101972 scopus 로고    scopus 로고
    • Statistical Inference of TranscriptionalModule- Based Gene Networks From Time Course Gene Expression Profiles by Using State Space Models
    • [1243]
    • Hirose, O., Yoshida, R., Imoto, S., Yamaguchi, R., Higuchi, T., Charnock- Jones, D. S., Print, C., andMiyano, S. (2008), "Statistical Inference of TranscriptionalModule- Based Gene Networks From Time Course Gene Expression Profiles by Using State Space Models," Bioinformatics, 24, 932-942.[1243]
    • (2008) Bioinformatics , vol.24 , pp. 932-942
    • Hirose, O.1    Yoshida, R.2    Imoto, S.3    Yamaguchi, R.4    Higuchi, T.5    Charnock-Jones, D.S.6    Print, C.7    Andmiyano, S.8
  • 28
    • 33745242945 scopus 로고    scopus 로고
    • Functional Hierarchical Models for Identifying Genes With Different Time-Course Expression Profiles
    • [1242]
    • Hong, F., and Li, H. (2006), "Functional Hierarchical Models for Identifying Genes With Different Time-Course Expression Profiles," Biometrics, 62, 534-544. [1242]
    • (2006) Biometrics , vol.62 , pp. 534-544
    • Hong, F.1    Li, H.2
  • 31
    • 0014489272 scopus 로고
    • Metabolic Stability and Epigenesis in Randomly Constructed Genetic Nets
    • [1242]
    • Kauffman, S. A. (1969), "Metabolic Stability and Epigenesis in Randomly Constructed Genetic Nets," Journal of Theoretical Biology, 22, 437-467. [1242]
    • (1969) Journal of Theoretical Biology , vol.22 , pp. 437-467
    • Kauffman, S.A.1
  • 32
    • 77949349770 scopus 로고    scopus 로고
    • Smoothly Clipped Absolute Deviation on High Dimensions
    • [1244-1246,1255,1256]
    • Kim, Y., Choi, H., and Oh, H.-S. (2008), "Smoothly Clipped Absolute Deviation on High Dimensions," Journal of the American Statistical Association, 103, 1665-1673. [1244-1246,1255,1256]
    • (2008) Journal of the American Statistical Association , vol.103 , pp. 1665-1673
    • Kim, Y.1    Choi, H.2    Oh, H.-S.3
  • 34
    • 13444249563 scopus 로고    scopus 로고
    • Coupling a Stochastic Approximation Version of EM With a MCMC Procedure
    • [1244,1247]
    • Kuhn, E., and Lavielle, M. (2005), "Coupling a Stochastic Approximation Version of EM With a MCMC Procedure," ESAIM: Probability and Statistics, 8, 115-131. [1244,1247]
    • (2005) ESAIM: Probability and Statistics , vol.8 , pp. 115-131
    • Kuhn, E.1    Lavielle, M.2
  • 36
    • 77953301486 scopus 로고    scopus 로고
    • Parameter Estimation for Differential Equation Models Using a Framework of Measurement Error in Regression Models
    • [1244-1246,1254,1256]
    • Liang, H., and Wu, H. (2008), "Parameter Estimation for Differential Equation Models Using a Framework of Measurement Error in Regression Models," Journal of the American Statistical Association, 103, 1570-1583. [1244-1246,1254,1256]
    • (2008) Journal of the American Statistical Association , vol.103 , pp. 1570-1583
    • Liang, H.1    Wu, H.2
  • 37
    • 74349089785 scopus 로고    scopus 로고
    • Identifying Temporally Differentially Expressed Genes Through Functional Principal Components Analysis
    • [1242]
    • Liu, X. L., and Yang, M. C. K. (2009), "Identifying Temporally Differentially Expressed Genes Through Functional Principal Components Analysis," Biostatistics, 10, 667-679. [1242]
    • (2009) Biostatistics , vol.10 , pp. 667-679
    • Liu, X.L.1    Yang, M.C.K.2
  • 38
    • 1342288029 scopus 로고    scopus 로고
    • Model-Based Methods for Identifying Periodically Expressed Genes Based on Time Course Microarray Gene Expression Data
    • [1242-1244]
    • Luan, Y., and Li, H. (2004), "Model-Based Methods for Identifying Periodically Expressed Genes Based on Time Course Microarray Gene Expression Data," Bioinformatics, 20, 332-339. [1242-1244]
    • (2004) Bioinformatics , vol.20 , pp. 332-339
    • Luan, Y.1    Li, H.2
  • 39
    • 49549108208 scopus 로고    scopus 로고
    • Penalized Clustering of Large-Scale Functional Data With Multiple Covariates
    • [1242-1244,1248]
    • Ma, P., and Zhong, W. (2008), "Penalized Clustering of Large-Scale Functional Data With Multiple Covariates," Journal of the American Statistical Association, 103, 625-636. [1242-1244,1248]
    • (2008) Journal of the American Statistical Association , vol.103 , pp. 625-636
    • Ma, P.1    Zhong, W.2
  • 40
    • 33644855951 scopus 로고    scopus 로고
    • A Data-Driven Clustering Method for Time Course Gene Expression Data
    • [1242-1244,1248]
    • Ma, P., Castillo-Davis, C. I., Zhong, W., and Liu, J. S. (2006), "A Data-Driven Clustering Method for Time Course Gene Expression Data," Nucleic Acids Research, 34, 1261-1269. [1242-1244,1248]
    • (2006) Nucleic Acids Research , vol.34 , pp. 1261-1269
    • Ma, P.1    Castillo-Davis, C.I.2    Zhong, W.3    Liu, J.S.4
  • 41
    • 33747163541 scopus 로고    scopus 로고
    • High-Dimensional Graphs and Variable Selection With the Lasso
    • [1246]
    • Meinshausen, N., and Bühlmann, P. (2006), "High-Dimensional Graphs and Variable Selection With the Lasso," The Annals of Statistics, 34, 1436-1462. [1246]
    • (2006) The Annals of Statistics , vol.34 , pp. 1436-1462
    • Meinshausen, N.1    Bühlmann, P.2
  • 42
    • 42949111568 scopus 로고    scopus 로고
    • Inferring Gene Experssion Dynamics via Functional Regression Analysis
    • [1242]
    • Müller, H., Chiou, J. M., and Leng, X. (2008), "Inferring Gene Experssion Dynamics via Functional Regression Analysis," BMC Bioinformatics, 9, 60. [1242]
    • (2008) BMC Bioinformatics , vol.9 , pp. 60
    • Müller, H.1    Chiou, J.M.2    Leng, X.3
  • 45
    • 35648981518 scopus 로고    scopus 로고
    • Parameter Estimation for Differential Equations: A Generalized Smoothing Approach
    • (with discussion), [1254]
    • Ramsay, J. O., Hooker, G., Campbell, D., and Cao, J. (2007), "Parameter Estimation for Differential Equations: A Generalized Smoothing Approach" (with discussion), Journal of the Royal Statistical Society, Ser. B, 69, 741-796. [1254]
    • (2007) Journal of the Royal Statistical Society, Ser. B , vol.69 , pp. 741-796
    • Ramsay, J.O.1    Hooker, G.2    Campbell, D.3    Cao, J.4
  • 46
    • 34548452938 scopus 로고    scopus 로고
    • Piecewise Linear Regularized Solution Paths
    • [1246]
    • Rosset, S., and Zhu, J. (2007), "Piecewise Linear Regularized Solution Paths," The Annals of Statistics, 35, 1012-1030. [1246]
    • (2007) The Annals of Statistics , vol.35 , pp. 1012-1030
    • Rosset, S.1    Zhu, J.2
  • 48
    • 33750740728 scopus 로고    scopus 로고
    • Extension of the SAEM Algorithm to Left-Censored Data in Nonlinear Mixed-Effects Model: Application to HIV Dynamics Model
    • [1244,1247]
    • Samson, A., Lavielle, M., and Mentré, F. (2006), "Extension of the SAEM Algorithm to Left-Censored Data in Nonlinear Mixed-Effects Model: Application to HIV Dynamics Model," Computational Statistics & Data Analysis, 51, 1562-1574. [1244,1247]
    • (2006) Computational Statistics & Data Analysis , vol.51 , pp. 1562-1574
    • Samson, A.1    Lavielle, M.2    Mentré, F.3
  • 49
    • 66749164082 scopus 로고    scopus 로고
    • Recursive Regularization for Inferring Gene Networks From Time-Course Gene Expression Profiles
    • [1243]
    • Shimamura, T., Imoto, S., Yamaguchi, R., Fujita, A., Nagasaki, M., and Miyano, S. (2009), "Recursive Regularization for Inferring Gene Networks From Time-Course Gene Expression Profiles," BMC Systems Biology, 3, 41-54. [1243]
    • (2009) BMC Systems Biology , vol.3 , pp. 41-54
    • Shimamura, T.1    Imoto, S.2    Yamaguchi, R.3    Fujita, A.4    Nagasaki, M.5    Miyano, S.6
  • 54
    • 0042526388 scopus 로고    scopus 로고
    • TheMutual Information: Detecting and Evaluating Dependencies Between Variables
    • [1242]
    • Steuer, R., Kurths, J., Daub, C. O., Weise, J., and Selbig, J. (2002), "TheMutual Information: Detecting and Evaluating Dependencies Between Variables," Bioinformatics, 18, S231-S240. [1242]
    • (2002) Bioinformatics , vol.18
    • Steuer, R.1    Kurths, J.2    Daub, C.O.3    Weise, J.4    Selbig, J.5
  • 56
    • 0141993704 scopus 로고    scopus 로고
    • A Gene- Coexpression Network for Global Discovery of Conserved Genetic Modules
    • [1242]
    • Stuart, J. M., Segal, E., Koller, D., and Kim, S. K. (2003), "A Gene- Coexpression Network for Global Discovery of Conserved Genetic Modules," Science, 302, 249-255. [1242]
    • (2003) Science , vol.302 , pp. 249-255
    • Stuart, J.M.1    Segal, E.2    Koller, D.3    Kim, S.K.4
  • 57
    • 62949237566 scopus 로고    scopus 로고
    • On Gene Ranking Using Replicated Microarray Time Course Data
    • [1242]
    • Tai, Y., and Speed, T. (2009), "On Gene Ranking Using Replicated Microarray Time Course Data," Biometrics, 65, 40-51. [1242]
    • (2009) Biometrics , vol.65 , pp. 40-51
    • Tai, Y.1    Speed, T.2
  • 58
    • 0015823097 scopus 로고
    • Boolean Formalization of Genetic Control Circuits
    • [1242]
    • Thomas, R. (1973), "Boolean Formalization of Genetic Control Circuits," Journal of Theoretical Biology, 42, 563-585. [1242]
    • (1973) Journal of Theoretical Biology , vol.42 , pp. 563-585
    • Thomas, R.1
  • 60
    • 0002465693 scopus 로고
    • A Spline Least Squares Method for Numerical Parameter Estimation in Differential Equations
    • [1244]
    • Varah, J. M. (1982), "A Spline Least Squares Method for Numerical Parameter Estimation in Differential Equations," SIAM Journal on Scientific and Statistical Computing, 3, 28-46. [1244]
    • (1982) SIAM Journal On Scientific and Statistical Computing , vol.3 , pp. 28-46
    • Varah, J.M.1
  • 62
    • 0000176720 scopus 로고    scopus 로고
    • Mixed Effects Smoothing Spline Analysis of Variance
    • [1244]
    • Wang, Y. (1998), "Mixed Effects Smoothing Spline Analysis of Variance," Journal of the Royal Statistical Society, Ser. B, 60, 159-174. [1244]
    • (1998) Journal of the Royal Statistical Society, Ser. B , vol.60 , pp. 159-174
    • Wang, Y.1
  • 64
    • 34249774309 scopus 로고    scopus 로고
    • Reconstructing Gene Regulatory Networks With Bayesian Networks by Combining Expression Data With Multiple Sources of Prior Knowledge
    • [1243,1248]
    • Werhli, A. V., and Husmeier, D. (2007), "Reconstructing Gene Regulatory Networks With Bayesian Networks by Combining Expression Data With Multiple Sources of Prior Knowledge," Statistical Applications in Genetics and Molecular Biology, 6, Article 15. [1243,1248]
    • (2007) Statistical Applications In Genetics and Molecular Biology , vol.6 , pp. 15
    • Werhli, A.V.1    Husmeier, D.2
  • 66
    • 0036745523 scopus 로고    scopus 로고
    • Local Polynomial Mixed-Effects Models for Longitudinal Data
    • [1244]
    • Wu, H., and Zhang, J. T. (2002), "Local Polynomial Mixed-Effects Models for Longitudinal Data," Journal of the American Statistical Association, 97, 883-897. [1244]
    • (2002) Journal of the American Statistical Association , vol.97 , pp. 883-897
    • Wu, H.1    Zhang, J.T.2
  • 68
    • 77955160687 scopus 로고    scopus 로고
    • Sieve Estimation of Constant and Time- Varying Coefficients in Nonlinear Ordinary Differential Equation Models by Considering Both Numerical Error and Measurement Error
    • [1254]
    • Xue, H., Miao, H., and Wu, H. (2010), "Sieve Estimation of Constant and Time- Varying Coefficients in Nonlinear Ordinary Differential Equation Models by Considering Both Numerical Error and Measurement Error," The Annals of Statistics, 38, 2351-2387. [1254]
    • (2010) The Annals of Statistics , vol.38 , pp. 2351-2387
    • Xue, H.1    Miao, H.2    Wu, H.3
  • 71
    • 33846036999 scopus 로고    scopus 로고
    • Hidden Markov Models for Microarray Time Course Data in Multiple Biological Conditions
    • [1242]
    • Yuan, M., and Kendziorski, C. (2006), "Hidden Markov Models for Microarray Time Course Data in Multiple Biological Conditions," Journal of the American Statistical Association, 101, 1323-1332. [1242]
    • (2006) Journal of the American Statistical Association , vol.101 , pp. 1323-1332
    • Yuan, M.1    Kendziorski, C.2
  • 72
    • 33845263263 scopus 로고    scopus 로고
    • On Model Selection Consistency of Lasso
    • [1255]
    • Zhao, P., and Yu, B. (2006), "On Model Selection Consistency of Lasso," Journal of Machine Learning Research, 7, 2541-2563. [1255]
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 2541-2563
    • Zhao, P.1    Yu, B.2
  • 73
    • 33846114377 scopus 로고    scopus 로고
    • The Adaptive LASSO and Its Oracle Properties
    • [1246]
    • Zou, H. (2006), "The Adaptive LASSO and Its Oracle Properties," Journal of the American Statistical Association, 101, 1418-1429. [1246]
    • (2006) Journal of the American Statistical Association , vol.101 , pp. 1418-1429
    • Zou, H.1
  • 74
    • 12744261506 scopus 로고    scopus 로고
    • A New Dynamic Bayesian Network (DBN) Approach for Identifying Gene Regulatory Networks From Time Course Microarray Data
    • [1243]
    • Zou, M., and Conzen, S. D. (2005), "A New Dynamic Bayesian Network (DBN) Approach for Identifying Gene Regulatory Networks From Time Course Microarray Data," Bioinformatics, 21, 71-79. [1243]
    • (2005) Bioinformatics , vol.21 , pp. 71-79
    • Zou, M.1    Conzen, S.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.