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Volumn 12, Issue SUPPL. 13, 2011, Pages

Stability of building gene regulatory networks with sparse autoregressive models

Author keywords

[No Author keywords available]

Indexed keywords

AUTO REGRESSIVE MODELS; AUTO-REGRESSIVE; BIOLOGICAL NETWORKS; CELL CYCLE; COMPUTATIONAL TECHNIQUE; DATA SETS; FALSE NEGATIVES; FALSE POSITIVE; GENE EXPRESSION DATA; GENE EXPRESSION DATASETS; GENE REGULATORY NETWORKS; IN-BUILDINGS; LIFE-SCIENCES; RANDOM PERTURBATIONS; SCALE-FREE TOPOLOGIES; STABLE NETWORK; SYNTHETIC DATA; TIME POINTS;

EID: 84871878774     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (31)
  • 2
    • 70549083891 scopus 로고    scopus 로고
    • Inference of gene regulatory networks using timeseries data: A survey
    • Chao S, Hua J, Jung S: Inference of gene regulatory networks using timeseries data: A survey. A Survey. Current Genomics 2009, 10:416-429.
    • (2009) A Survey. Current Genomics , vol.10 , pp. 416-429
    • Chao, S.1    Hua, J.2    Jung, S.3
  • 3
    • 65749102238 scopus 로고    scopus 로고
    • Machine learning and genetic regulatory networks: A review and a roadmap
    • Stoneham: Butterworth-Heinemann, Springer Verlag;Hassanien AE, Abraham A, Vasilakos A, Pedrycz W 2009:
    • Fogelberg C, Palade V: Machine learning and genetic regulatory networks: A review and a roadmap. In Foundations of Computational Intelligence. Stoneham: Butterworth-Heinemann, Springer Verlag;Hassanien AE, Abraham A, Vasilakos A, Pedrycz W 2009:.
    • Foundations of Computational Intelligence
    • Fogelberg, C.1    Palade, V.2
  • 4
    • 0842309206 scopus 로고    scopus 로고
    • Inferring gene networks from time series microarray data using dynamic Bayesian networks
    • Kim S, Imoto S, Miyano S: Inferring gene networks from time series microarray data using dynamic Bayesian networks. Briefings in Bioinformatics 2003, 4(3):228-235.
    • (2003) Briefings in Bioinformatics , vol.4 , Issue.3 , pp. 228-235
    • Kim, S.1    Imoto, S.2    Miyano, S.3
  • 5
    • 38549107133 scopus 로고    scopus 로고
    • Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks
    • Li P, Zhang C, Perkins E, Gong P, Deng Y: Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks. BMC Bioinformatics 2007, 8(Suppl 7): S13.
    • (2007) BMC Bioinformatics , vol.8 , Issue.SUPPL. 7
    • Li, P.1    Zhang, C.2    Perkins, E.3    Gong, P.4    Deng, Y.5
  • 8
    • 0036207347 scopus 로고    scopus 로고
    • Modeling and simulation of genetic regulatory systems: A literature review
    • DOI 10.1089/10665270252833208
    • de Jong H: Modeling and simulation of genetic regulatory systems : A literature review. Journal of Computational Biology 2002, 9:67-103. (Pubitemid 34264287)
    • (2002) Journal of Computational Biology , vol.9 , Issue.1 , pp. 67-103
    • De Jong, H.1
  • 10
    • 34547788797 scopus 로고    scopus 로고
    • Bayesian approaches to reverse engineer cellular systems: A simulation study on nonlinear Gaussian networks
    • Ferrazzi F, Sebastiani P, Ramoni M, Bellazzi R: Bayesian approaches to reverse engineer cellular systems: A simulation study on nonlinear Gaussian networks. BMC Bioinformatics 2007, 8(Suppl 5):S2.
    • (2007) BMC Bioinformatics , vol.8 , Issue.SUPPL. 5
    • Ferrazzi, F.1    Sebastiani, P.2    Ramoni, M.3    Bellazzi, R.4
  • 11
    • 0004158155 scopus 로고    scopus 로고
    • Modelling gene expression data using dynamic bayesian networks
    • Murphy K, Mian S: Modelling gene expression data using dynamic bayesian networks. Tech. rep 1999.
    • (1999) Tech. rep
    • Murphy, K.1    Mian, S.2
  • 12
    • 77956342095 scopus 로고    scopus 로고
    • Building gene networks with time-delayed regulations
    • Chaturvedi I, Rajapakse JC: Building gene networks with time-delayed regulations. Pattern Recognition Letters 2010, 31:2133-2137.
    • (2010) Pattern Recognition Letters , vol.31 , pp. 2133-2137
    • Chaturvedi, I.1    Rajapakse, J.C.2
  • 13
    • 33748654580 scopus 로고    scopus 로고
    • Inferring gene regulatory networks from time series data using the minimum description length principle
    • DOI 10.1093/bioinformatics/btl364
    • Zhao W, Serpedin E, Dougherty E: Inferring gene regulatory networks from time series data using the minimum description length principle. Bioinformatics 2006, 22(17):2129-2135. (Pubitemid 44390904)
    • (2006) Bioinformatics , vol.22 , Issue.17 , pp. 2129-2135
    • Zhao, W.1    Serpedin, E.2    Dougherty, E.R.3
  • 14
    • 78650901444 scopus 로고    scopus 로고
    • Gene regulatory networks from multifactorial perturbations using Graphical Lasso: Application to the DREAM4 Challenge
    • Menéndez P, Kourmpetis Y, ter Braak C, van Eeuwijk F: Gene regulatory networks from multifactorial perturbations using Graphical Lasso: Application to the DREAM4 Challenge. PLOS One 2010, 5(12):e14147.
    • (2010) PLOS One , vol.5 , Issue.12
    • Menéndez, P.1    Kourmpetis, Y.2    Ter Braak, C.3    Van Eeuwijk, F.4
  • 15
    • 79951965650 scopus 로고    scopus 로고
    • Improvements in the reconstruction of timevarying gene regulatory networks: Dynamic programming and regularization by information sharing among genes
    • Grzegorczyk M, Husmeier D: Improvements in the reconstruction of timevarying gene regulatory networks: Dynamic programming and regularization by information sharing among genes. Bioinformatics 2011, 27(5):693-699.
    • (2011) Bioinformatics , vol.27 , Issue.5 , pp. 693-699
    • Grzegorczyk, M.1    Husmeier, D.2
  • 16
    • 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, Garay-Malpartida H, Morettin P, Sogayar M, Ferreira C: Timevarying modeling of gene expression regulatory networks using the wavelet dynamic vector autoregressive method. Bioinformatics 2007, 23(13):1623-1630. (Pubitemid 47244452)
    • (2007) Bioinformatics , vol.23 , Issue.13 , pp. 1623-1630
    • Fujita, A.1    Sato, J.R.2    Garay-Malpartida, H.M.3    Morettin, P.A.4    Sogayar, M.C.5    Ferreira, C.E.6
  • 17
    • 34548538013 scopus 로고    scopus 로고
    • Reconstructing gene-regulatory networks from time series, knock-out data, and prior knowledge
    • Geier F, Timmer J, Fleck C: Reconstructing gene-regulatory networks from time series, knock-out data, and prior knowledge. BMC Systems Biology 2007, 1:11.
    • (2007) BMC Systems Biology , vol.1 , pp. 11
    • Geier, F.1    Timmer, J.2    Fleck, C.3
  • 20
    • 0038483826 scopus 로고    scopus 로고
    • Emergence of scaling in random networks
    • Barabasi A, Albert R: Emergence of scaling in random networks. Science 1999, 286:509-512.
    • (1999) Science , vol.286 , pp. 509-512
    • Barabasi, A.1    Albert, R.2
  • 23
    • 0001677717 scopus 로고
    • Controlling the false discovery rate: A practical and powerful approach to multiple testing
    • Benjamini Y, Hochberg Y: Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of Royal Statistical Society: Series B 1995, 57:289-300.
    • (1995) Journal of Royal Statistical Society: Series B , vol.57 , pp. 289-300
    • Benjamini, Y.1    Hochberg, Y.2
  • 25
    • 34548536008 scopus 로고    scopus 로고
    • On the degrees of freedom of the lasso
    • Zou H, Hastie T, Tibshirani R: On the degrees of freedom of the lasso. Annals of Statistics 2007, 35(5):2173-2192.
    • (2007) Annals of Statistics , vol.35 , Issue.5 , pp. 2173-2192
    • Zou, H.1    Hastie, T.2    Tibshirani, R.3
  • 26
    • 79951843773 scopus 로고    scopus 로고
    • Noxa mediates p18INK4c cell-cycle control of homeostasis in B cells and plasma cell precursors
    • Bretz J, Garcia J, Huang X, Kang L, Zhang Y, Toellner KM, Chen-Kiang S: Noxa mediates p18INK4c cell-cycle control of homeostasis in B cells and plasma cell precursors. Blood 2011, 117(7):2179-2188.
    • (2011) Blood , vol.117 , Issue.7 , pp. 2179-2188
    • Bretz, J.1    Garcia, J.2    Huang, X.3    Kang, L.4    Zhang, Y.5    Toellner, K.M.6    Chen-Kiang, S.7
  • 28
    • 0036362236 scopus 로고    scopus 로고
    • Thrombospondin-1 as an endogenous inhibitor of angiogenesis and tumor growth
    • Lawler J: Thrombospondin-1 as an endogenous inhibitor of angiogenesis and tumor growth. J. cellular and molecular medicine 2002, 6:1-12. (Pubitemid 44133979)
    • (2002) Journal of Cellular and Molecular Medicine , vol.6 , Issue.1 , pp. 1-12
    • Lawler, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.