메뉴 건너뛰기




Volumn 5, Issue 1, 2009, Pages

A note on inferring acyclic network structures using granger causality tests

Author keywords

Gene Networks; Granger Causality; VAR process

Indexed keywords

ARTICLE; AUTOREGULATION; BIOLOGY; BIOSTATISTICS; ERROR; FEEDBACK SYSTEM; GENE; MATHEMATICAL ANALYSIS; MONTE CARLO METHOD; NOISE; PARAMETER; SAMPLE SIZE; SIMULATION; STATISTICS; TIME SERIES ANALYSIS; COMPUTER SIMULATION; EPIDEMIOLOGY; GENE REGULATORY NETWORK; GENETICS; HUMAN; STATISTICAL ANALYSIS; STATISTICAL MODEL; UTILIZATION REVIEW;

EID: 65849504774     PISSN: 15574679     EISSN: None     Source Type: Journal    
DOI: 10.2202/1557-4679.1119     Document Type: Article
Times cited : (6)

References (24)
  • 1
    • 34249079154 scopus 로고    scopus 로고
    • Network motifs: Theory and experimental approaches
    • DOI 10.1038/nrg2102, PII NRG2102
    • Alon, U. (2007). Network motifs: theory and experimental approaches. Nature Reviews Genetics 8, 450-461. (Pubitemid 46789247)
    • (2007) Nature Reviews Genetics , vol.8 , Issue.6
    • Alon, U.1
  • 3
    • 3042795832 scopus 로고    scopus 로고
    • Beta oscillations in a large-scale sensorimotor cortical network: Directional influences revealed by Granger causality
    • Brovelli, A., Ding, M., Lederberg, A., Chen, Y., Nakamura, R. and Bressler, S.L. (2004). Beta oscillations in a large-scale sensorimotor cortical network: Directional influences revealed by Granger causality. Proc. Nat. Acad. Sci. (USA) 101, 9849-9854.
    • (2004) Proc. Nat. Acad. Sci. (USA) , vol.101
    • Brovelli, A.1    Ding, M.2    Lederberg, A.3    Chen, Y.4    Nakamura, R.5    Bressler, S.L.6
  • 5
    • 0037119587 scopus 로고    scopus 로고
    • Stochastic gene expression in a single cell
    • DOI 10.1126/science.1070919
    • Elowitz, M.B., Levine, A.J., Siggia, E.D., and Swain, P.S. (2002) Stochastic Gene Expression in a Single Cell. Science, 297(5584), 1183-1186 (Pubitemid 36193353)
    • (2002) Science , vol.297 , Issue.5584
    • Elowitz, M.B.1    Levine, A.J.2    Siggia, E.D.3    Swain, P.S.4
  • 6
    • 0842288337 scopus 로고    scopus 로고
    • Inferring cellular networks using probabilistic graphical models
    • Friedman, N. (2004). Inferring Cellular Networks Using Probabilistic Graphical Models, Science 303, 799-805.
    • (2004) Science , vol.303
    • Friedman, N.1
  • 7
    • 34547852213 scopus 로고    scopus 로고
    • Time-varying modeling of gene expression regulatory networks using the wavelet dynamic vector autoregressive method
    • DOI 10.1093/bioinformatics/btm151
    • Fujita, A., Sato, J.R., Garay-Malpartida, H.M., Morettin, P.A., Sogayar, M.C. and Ferreira, C.E. (2007). Time-varying modeling of gene expression regulatory networks using the wavelet dynamic vector autoregressive method. Bioinformatics, 23, 1623-1630. (Pubitemid 47244452)
    • (2007) Bioinformatics , vol.23 , Issue.13
    • Fujita, A.1    Sato, J.R.2    Garay-Malpartida, H.M.3    Morettin, P.A.4    Sogayar, M.C.5    Ferreira, C.E.6
  • 8
    • 0038048325 scopus 로고    scopus 로고
    • Inferring genetic networks and identifying compound mode of action via expression profiling
    • DOI 10.1126/science.1081900
    • Gardner, T.S., Bernardo, D., Lorenz, D. and Collins, J.J. (2003). Inferring genetic networks and identifying compound mode of action via expression profiling. Science 301, 102-105. (Pubitemid 36801571)
    • (2003) Science , vol.301 , Issue.5629
    • Gardner, T.S.1    Di Bernardo, D.2    Lorenz, D.3    Collins, J.J.4
  • 9
    • 0000351727 scopus 로고
    • Investigating causal relations by econometric models and cross-spectral methods
    • Granger, C.W.J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3) 424-438.
    • (1969) Econometrica , vol.37 , Issue.3
    • Granger, C.W.J.1
  • 10
    • 44949262939 scopus 로고    scopus 로고
    • Uncovering interactions in the frequency domain
    • Guo S, Wu J, Ding M, Feng J (2008). Uncovering Interactions in the Frequency Domain. PLoS Comput. Biol 4(5): e1000087.
    • (2008) PLoS Comput. Biol , vol.4 , Issue.5
    • Guo, S.1    Wu, J.2    Ding, M.3    Feng, J.4
  • 12
    • 0344464762 scopus 로고    scopus 로고
    • Sensitivity and specificity of inferring genetic regulatory interactions from microarray experiments with dynamic Bayesian networks
    • DOI 10.1093/bioinformatics/btg313
    • Husmeier, D. (2003). Sensitivity and specificity of inferring genetic regulatory interactions from microarray experiments with dynamic Bayesian networks. Bioinformatics 19, 2271-2282. (Pubitemid 37483983)
    • (2003) Bioinformatics , vol.19 , Issue.17
    • Husmeier, D.1
  • 13
    • 19544379881 scopus 로고    scopus 로고
    • Stochasticity in gene expression: From theories to phenotypes
    • DOI 10.1038/nrg1615
    • Kaern, M., Elston, T.C., Blake, W.J. and Collins, J.J. (2005) Stochasticity in gene expression: from theories to phenotypes. Nature Reviews Genetics. 6, 451-464. (Pubitemid 40733890)
    • (2005) Nature Reviews Genetics , vol.6 , Issue.6
    • Kaern, M.1    Elston, T.C.2    Blake, W.J.3    Collins, J.J.4
  • 14
    • 38349013623 scopus 로고    scopus 로고
    • Coupled feedback loops form dynamic motifs of cellular networks
    • Kim, J.R., Yoon, Y. Cho, K.H. (2008) Coupled feedback loops form dynamic motifs of cellular networks. Biophysical J. 94(2), 359-365
    • (2008) Biophysical J. , vol.94 , Issue.2
    • Kim, J.R.1    Yoon, Y.2    Cho, K.H.3
  • 15
    • 0036500993 scopus 로고    scopus 로고
    • Systems biology: A brief overview
    • Kitano, H. (2002). Systems Biology: A Brief Overview. Science 295, 1662-1664.
    • (2002) Science , vol.295
    • Kitano, H.1
  • 16
    • 0033083733 scopus 로고    scopus 로고
    • It's a noisy business! Genetic regulation at the nanomolar scale
    • Mcadams, H. H. and Arkin, A. (1999). It's a noisy business! Genetic regulation at the nanomolar scale. Trends in Genetics. 15, 65-69.
    • (1999) Trends in Genetics , vol.15
    • Mcadams, H.H.1    Arkin, A.2
  • 18
    • 33847348163 scopus 로고    scopus 로고
    • Causality and pathway search in microarray time series experiment
    • DOI 10.1093/bioinformatics/btl598
    • Mukhopadhyay, N.D. and Chatterjee, S. (2007) Causality and pathway search in microarray time series experiment. Bioinformatics. 23(4), 442-449 (Pubitemid 46331215)
    • (2007) Bioinformatics , vol.23 , Issue.4
    • Mukhopadhyay, N.D.1    Chatterjee, S.2
  • 19
    • 41349085815 scopus 로고    scopus 로고
    • Comment on causality and pathway search in microarray time series experiment
    • Nagarajan, R and Upreti, M. (2008) Comment on causality and pathway search in microarray time series experiment. Bioinformatics, 24(7), 1029-1032.
    • (2008) Bioinformatics , vol.24 , Issue.7
    • Nagarajan, R.1    Upreti, M.2
  • 22
    • 0347985215 scopus 로고    scopus 로고
    • General methodological considerations
    • Robins, J.M. (2003) General methodological considerations. Journal of Econometrics 112, 89-106.
    • (2003) Journal of Econometrics , vol.112
    • Robins, J.M.1
  • 23
    • 1542637615 scopus 로고    scopus 로고
    • Estimation of the causal effect of a time-varying exposure on the marginal mean of a repeated binary outcome
    • Robins J.M, Greenland, S. and Hu, F-C (1999) Estimation of the Causal Effect of a Time-Varying Exposure on the Marginal Mean of a Repeated Binary Outcome. Journal of American Statistical Association. 94 (447) 687-700.
    • (1999) Journal of American Statistical Association , vol.94 , Issue.447
    • Robins, J.M.1    Greenland, S.2    Hu, F.-C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.