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Pubmed for Handhelds

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Journal Abstract Search

154 related items for PubMed ID: 17890736

  • 21. Selective integration of multiple biological data for supervised network inference.
    Kato T, Tsuda K, Asai K.
    Bioinformatics; 2005 May 15; 21(10):2488-95. PubMed ID: 15728114
    [Abstract] [Full Text] [Related]

  • 22. A Bayesian approach to reconstructing genetic regulatory networks with hidden factors.
    Beal MJ, Falciani F, Ghahramani Z, Rangel C, Wild DL.
    Bioinformatics; 2005 Feb 01; 21(3):349-56. PubMed ID: 15353451
    [Abstract] [Full Text] [Related]

  • 23. Quantitative inference of dynamic regulatory pathways via microarray data.
    Chang WC, Li CW, Chen BS.
    BMC Bioinformatics; 2005 Mar 07; 6():44. PubMed ID: 15748298
    [Abstract] [Full Text] [Related]

  • 24. Inferring pairwise regulatory relationships from multiple time series datasets.
    Shi Y, Mitchell T, Bar-Joseph Z.
    Bioinformatics; 2007 Mar 15; 23(6):755-63. PubMed ID: 17237067
    [Abstract] [Full Text] [Related]

  • 25. Bayesian sparse hidden components analysis for transcription regulation networks.
    Sabatti C, James GM.
    Bioinformatics; 2006 Mar 15; 22(6):739-46. PubMed ID: 16368767
    [Abstract] [Full Text] [Related]

  • 26. Learning regulatory programs that accurately predict differential expression with MEDUSA.
    Kundaje A, Lianoglou S, Li X, Quigley D, Arias M, Wiggins CH, Zhang L, Leslie C.
    Ann N Y Acad Sci; 2007 Dec 15; 1115():178-202. PubMed ID: 17934055
    [Abstract] [Full Text] [Related]

  • 27. A stochastic differential equation model for quantifying transcriptional regulatory network in Saccharomyces cerevisiae.
    Chen KC, Wang TY, Tseng HH, Huang CY, Kao CY.
    Bioinformatics; 2005 Jun 15; 21(12):2883-90. PubMed ID: 15802287
    [Abstract] [Full Text] [Related]

  • 28. Inferring quantitative models of regulatory networks from expression data.
    Nachman I, Regev A, Friedman N.
    Bioinformatics; 2004 Aug 04; 20 Suppl 1():i248-56. PubMed ID: 15262806
    [Abstract] [Full Text] [Related]

  • 29. Inferring gene regulatory networks from time series data using the minimum description length principle.
    Zhao W, Serpedin E, Dougherty ER.
    Bioinformatics; 2006 Sep 01; 22(17):2129-35. PubMed ID: 16845143
    [Abstract] [Full Text] [Related]

  • 30. Superiority of network motifs over optimal networks and an application to the revelation of gene network evolution.
    Ott S, Hansen A, Kim SY, Miyano S.
    Bioinformatics; 2005 Jan 15; 21(2):227-38. PubMed ID: 15377501
    [Abstract] [Full Text] [Related]

  • 31. Context-dependent clustering for dynamic cellular state modeling of microarray gene expression.
    Yuan S, Li KC.
    Bioinformatics; 2007 Nov 15; 23(22):3039-47. PubMed ID: 17846037
    [Abstract] [Full Text] [Related]

  • 32. Network motif-based identification of transcription factor-target gene relationships by integrating multi-source biological data.
    Zhang Y, Xuan J, de los Reyes BG, Clarke R, Ressom HW.
    BMC Bioinformatics; 2008 Apr 21; 9():203. PubMed ID: 18426580
    [Abstract] [Full Text] [Related]

  • 33. Adapting genetic regulatory models by genetic programming.
    Eriksson R, Olsson B.
    Biosystems; 2004 Apr 21; 76(1-3):217-27. PubMed ID: 15351145
    [Abstract] [Full Text] [Related]

  • 34. An efficient algorithm to identify coordinately activated transcription factors.
    Hu H.
    Genomics; 2010 Mar 21; 95(3):143-50. PubMed ID: 20060041
    [Abstract] [Full Text] [Related]

  • 35. Inferring direct regulatory targets of a transcription factor in the DREAM2 challenge.
    Vega VB, Woo XY, Hamidi H, Yeo HC, Yeo ZX, Bourque G, Clarke ND.
    Ann N Y Acad Sci; 2009 Mar 21; 1158():215-23. PubMed ID: 19348643
    [Abstract] [Full Text] [Related]

  • 36. Factor analysis for gene regulatory networks and transcription factor activity profiles.
    Pournara I, Wernisch L.
    BMC Bioinformatics; 2007 Feb 23; 8():61. PubMed ID: 17319944
    [Abstract] [Full Text] [Related]

  • 37. Estimating gene regulatory networks and protein-protein interactions of Saccharomyces cerevisiae from multiple genome-wide data.
    Nariai N, Tamada Y, Imoto S, Miyano S.
    Bioinformatics; 2005 Sep 01; 21 Suppl 2():ii206-12. PubMed ID: 16204105
    [Abstract] [Full Text] [Related]

  • 38. Quantifying transcriptional regulatory networks by integrating sequence features and microarray data.
    Liu H.
    Bioprocess Biosyst Eng; 2010 May 01; 33(4):495-505. PubMed ID: 19657679
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  • 39. Least absolute regression network analysis of the murine osteoblast differentiation network.
    van Someren EP, Vaes BL, Steegenga WT, Sijbers AM, Dechering KJ, Reinders MJ.
    Bioinformatics; 2006 Feb 15; 22(4):477-84. PubMed ID: 16332709
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  • 40. Unraveling transcriptional regulatory programs by integrative analysis of microarray and transcription factor binding data.
    Li H, Zhan M.
    Bioinformatics; 2008 Sep 01; 24(17):1874-80. PubMed ID: 18586698
    [Abstract] [Full Text] [Related]

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