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Journal Abstract Search

199 related items for PubMed ID: 17644489

  • 1. Precedence Temporal Networks to represent temporal relationships in gene expression data.
    Sacchi L, Larizza C, Magni P, Bellazzi R.
    J Biomed Inform; 2007 Dec; 40(6):761-74. PubMed ID: 17644489
    [Abstract] [Full Text] [Related]

  • 2. Time-varying modeling of gene expression regulatory networks using the wavelet dynamic vector autoregressive method.
    Fujita A, Sato JR, Garay-Malpartida HM, Morettin PA, Sogayar MC, Ferreira CE.
    Bioinformatics; 2007 Jul 01; 23(13):1623-30. PubMed ID: 17463021
    [Abstract] [Full Text] [Related]

  • 3. Reconstructing biological networks using conditional correlation analysis.
    Rice JJ, Tu Y, Stolovitzky G.
    Bioinformatics; 2005 Mar 01; 21(6):765-73. PubMed ID: 15486043
    [Abstract] [Full Text] [Related]

  • 4. Boolean dynamics of genetic regulatory networks inferred from microarray time series data.
    Martin S, Zhang Z, Martino A, Faulon JL.
    Bioinformatics; 2007 Apr 01; 23(7):866-74. PubMed ID: 17267426
    [Abstract] [Full Text] [Related]

  • 5. Reverse engineering of dynamic networks.
    Stigler B, Jarrah A, Stillman M, Laubenbacher R.
    Ann N Y Acad Sci; 2007 Dec 01; 1115():168-77. PubMed ID: 17925347
    [Abstract] [Full Text] [Related]

  • 6. Detecting reliable gene interactions by a hierarchy of Bayesian network classifiers.
    Armañanzas R, Inza I, Larrañaga P.
    Comput Methods Programs Biomed; 2008 Aug 01; 91(2):110-21. PubMed ID: 18433926
    [Abstract] [Full Text] [Related]

  • 7. Alternative pathway approach for automating analysis and validation of cell perturbation networks and design of perturbation experiments.
    Gong Y, Zhang Z.
    Ann N Y Acad Sci; 2007 Dec 01; 1115():267-85. PubMed ID: 17925355
    [Abstract] [Full Text] [Related]

  • 8. Ensemble learning of genetic networks from time-series expression data.
    Nam D, Yoon SH, Kim JF.
    Bioinformatics; 2007 Dec 01; 23(23):3225-31. PubMed ID: 17977884
    [Abstract] [Full Text] [Related]

  • 9. Inferring gene regulatory networks from multiple microarray datasets.
    Wang Y, Joshi T, Zhang XS, Xu D, Chen L.
    Bioinformatics; 2006 Oct 01; 22(19):2413-20. PubMed ID: 16864593
    [Abstract] [Full Text] [Related]

  • 10. 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]

  • 11. 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 01; 1115():102-15. PubMed ID: 17925356
    [Abstract] [Full Text] [Related]

  • 12. Comparing association network algorithms for reverse engineering of large-scale gene regulatory networks: synthetic versus real data.
    Soranzo N, Bianconi G, Altafini C.
    Bioinformatics; 2007 Jul 01; 23(13):1640-7. PubMed ID: 17485431
    [Abstract] [Full Text] [Related]

  • 13. 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]

  • 14. Detecting biological associations between genes based on the theory of phase synchronization.
    Kim CS, Riikonen P, Salakoski T.
    Biosystems; 2008 May 15; 92(2):99-113. PubMed ID: 18289772
    [Abstract] [Full Text] [Related]

  • 15. Increasing feasibility of optimal gene network estimation.
    Hansen A, Ott S, Koentges G.
    Genome Inform; 2004 May 15; 15(2):141-50. PubMed ID: 15706500
    [Abstract] [Full Text] [Related]

  • 16. springScape: visualisation of microarray and contextual bioinformatic data using spring embedding and an 'information landscape'.
    Ebbels TM, Buxton BF, Jones DT.
    Bioinformatics; 2006 Jul 15; 22(14):e99-107. PubMed ID: 16873528
    [Abstract] [Full Text] [Related]

  • 17. 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]

  • 18. Fast network component analysis (FastNCA) for gene regulatory network reconstruction from microarray data.
    Chang C, Ding Z, Hung YS, Fung PC.
    Bioinformatics; 2008 Jun 01; 24(11):1349-58. PubMed ID: 18400771
    [Abstract] [Full Text] [Related]

  • 19. 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 01; 1115():178-202. PubMed ID: 17934055
    [Abstract] [Full Text] [Related]

  • 20. LICORN: learning cooperative regulation networks from gene expression data.
    Elati M, Neuvial P, Bolotin-Fukuhara M, Barillot E, Radvanyi F, Rouveirol C.
    Bioinformatics; 2007 Sep 15; 23(18):2407-14. PubMed ID: 17720703
    [Abstract] [Full Text] [Related]

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