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Journal Abstract Search


281 related items for PubMed ID: 19348648

  • 21. ReTRN: a retriever of real transcriptional regulatory network and expression data for evaluating structure learning algorithm.
    Li Y, Zhu Y, Bai X, Cai H, Ji W, Guo D.
    Genomics; 2009 Nov; 94(5):349-54. PubMed ID: 19712740
    [Abstract] [Full Text] [Related]

  • 22. Method for inferring and extracting reliable genetic interactions from time-series profile of gene expression.
    Nakatsui M, Ueda T, Maki Y, Ono I, Okamoto M.
    Math Biosci; 2008 Sep; 215(1):105-14. PubMed ID: 18638491
    [Abstract] [Full Text] [Related]

  • 23. Prediction of pairwise gene interaction using threshold logic.
    Gowda T, Vrudhula S, Kim S.
    Ann N Y Acad Sci; 2009 Mar; 1158():276-86. PubMed ID: 19348649
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  • 28. A computational algebra approach to the reverse engineering of gene regulatory networks.
    Laubenbacher R, Stigler B.
    J Theor Biol; 2004 Aug 21; 229(4):523-37. PubMed ID: 15246788
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  • 29. Reverse engineering of dynamic networks.
    Stigler B, Jarrah A, Stillman M, Laubenbacher R.
    Ann N Y Acad Sci; 2007 Dec 21; 1115():168-77. PubMed ID: 17925347
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  • 30. Reconstruction of metabolic networks from high-throughput metabolite profiling data: in silico analysis of red blood cell metabolism.
    Nemenman I, Escola GS, Hlavacek WS, Unkefer PJ, Unkefer CJ, Wall ME.
    Ann N Y Acad Sci; 2007 Dec 21; 1115():102-15. PubMed ID: 17925356
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  • 31. Modeling of gene regulatory network dynamics using threshold logic.
    Gowda T, Vrudhula S, Kim S.
    Ann N Y Acad Sci; 2009 Mar 21; 1158():71-81. PubMed ID: 19348633
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  • 32. A hybrid Bayesian network learning method for constructing gene networks.
    Wang M, Chen Z, Cloutier S.
    Comput Biol Chem; 2007 Oct 21; 31(5-6):361-72. PubMed ID: 17889617
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  • 33. Genetic network inference as a series of discrimination tasks.
    Kimura S, Nakayama S, Hatakeyama M.
    Bioinformatics; 2009 Apr 01; 25(7):918-25. PubMed ID: 19189976
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  • 34. Inferring dynamic gene networks under varying conditions for transcriptomic network comparison.
    Shimamura T, Imoto S, Yamaguchi R, Nagasaki M, Miyano S.
    Bioinformatics; 2010 Apr 15; 26(8):1064-72. PubMed ID: 20197286
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  • 35. Reconstructing directed signed gene regulatory network from microarray data.
    Qiu P, Plevritis SK.
    IEEE Trans Biomed Eng; 2011 Dec 15; 58(12):3518-21. PubMed ID: 21803675
    [Abstract] [Full Text] [Related]

  • 36. A reverse engineering algorithm for neural networks, applied to the subthalamopallidal network of basal ganglia.
    Floares AG.
    Neural Netw; 2008 Dec 15; 21(2-3):379-86. PubMed ID: 18243654
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  • 37. Reconstruction of gene regulatory networks under the finite state linear model.
    Ruklisa D, Brazma A, Viksna J.
    Genome Inform; 2005 Dec 15; 16(2):225-36. PubMed ID: 16901105
    [Abstract] [Full Text] [Related]

  • 38. Stochastic dynamic modeling of short gene expression time-series data.
    Wang Z, Yang F, Ho DW, Swift S, Tucker A, Liu X.
    IEEE Trans Nanobioscience; 2008 Mar 15; 7(1):44-55. PubMed ID: 18334455
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  • 39. Structural systems identification of genetic regulatory networks.
    Xiong H, Choe Y.
    Bioinformatics; 2008 Feb 15; 24(4):553-60. PubMed ID: 18175769
    [Abstract] [Full Text] [Related]

  • 40. Modeling the temporal evolution of the Drosophila gene expression from DNA microarray time series.
    Haye A, Dehouck Y, Kwasigroch JM, Bogaerts P, Rooman M.
    Phys Biol; 2009 Jan 27; 6(1):016004. PubMed ID: 19171963
    [Abstract] [Full Text] [Related]


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