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Journal Abstract Search

304 related items for PubMed ID: 16203178

  • 1. A control study to evaluate a computer-based microarray experiment design recommendation system for gene-regulation pathways discovery.
    Yoo C, Cooper GF, Schmidt M.
    J Biomed Inform; 2006 Apr; 39(2):126-46. PubMed ID: 16203178
    [Abstract] [Full Text] [Related]

  • 2. An evaluation of a system that recommends microarray experiments to perform to discover gene-regulation pathways.
    Yoo C, Cooper GF.
    Artif Intell Med; 2004 Jun; 31(2):169-82. PubMed ID: 15219293
    [Abstract] [Full Text] [Related]

  • 3. Prediction of regulatory pathways using mRNA expression and protein interaction data: application to identification of galactose regulatory pathway.
    Darvish A, Najarian K.
    Biosystems; 2006 Jun; 83(2-3):125-35. PubMed ID: 16384635
    [Abstract] [Full Text] [Related]

  • 4. A computer-based microarray experiment design-system for gene-regulation pathway discovery.
    Yoo C, Cooper GF.
    AMIA Annu Symp Proc; 2003 Jun; 2003():733-7. PubMed ID: 14728270
    [Abstract] [Full Text] [Related]

  • 5. Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical gaussian models and bayesian networks.
    Werhli AV, Grzegorczyk M, Husmeier D.
    Bioinformatics; 2006 Oct 15; 22(20):2523-31. PubMed ID: 16844710
    [Abstract] [Full Text] [Related]

  • 6. 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]

  • 7. 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]

  • 8. Detecting reliable gene interactions by a hierarchy of Bayesian network classifiers.
    Armañanzas R, Inza I, Larrañaga P.
    Comput Methods Programs Biomed; 2008 Aug 15; 91(2):110-21. PubMed ID: 18433926
    [Abstract] [Full Text] [Related]

  • 9. Bayesian modelling of shared gene function.
    Sykacek P, Clarkson R, Print C, Furlong R, Micklem G.
    Bioinformatics; 2007 Aug 01; 23(15):1936-44. PubMed ID: 17540682
    [Abstract] [Full Text] [Related]

  • 10. Tail posterior probability for inference in pairwise and multiclass gene expression data.
    Bochkina N, Richardson S.
    Biometrics; 2007 Dec 01; 63(4):1117-25. PubMed ID: 18078482
    [Abstract] [Full Text] [Related]

  • 11. 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]

  • 12. A meta-data based method for DNA microarray imputation.
    Jörnsten R, Ouyang M, Wang HY.
    BMC Bioinformatics; 2007 Mar 29; 8():109. PubMed ID: 17394658
    [Abstract] [Full Text] [Related]

  • 13. Gene network inference from incomplete expression data: transcriptional control of hematopoietic commitment.
    Missal K, Cross MA, Drasdo D.
    Bioinformatics; 2006 Mar 15; 22(6):731-8. PubMed ID: 16332705
    [Abstract] [Full Text] [Related]

  • 14. A Gibbs sampler for the identification of gene expression and network connectivity consistency.
    Brynildsen MP, Tran LM, Liao JC.
    Bioinformatics; 2006 Dec 15; 22(24):3040-6. PubMed ID: 17060361
    [Abstract] [Full Text] [Related]

  • 15. 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]

  • 16. Interpretation of ANOVA models for microarray data using PCA.
    de Haan JR, Wehrens R, Bauerschmidt S, Piek E, van Schaik RC, Buydens LM.
    Bioinformatics; 2007 Jan 15; 23(2):184-90. PubMed ID: 17105717
    [Abstract] [Full Text] [Related]

  • 17. Dynamic pathway modeling: feasibility analysis and optimal experimental design.
    Maiwald T, Kreutz C, Pfeifer AC, Bohl S, Klingmüller U, Timmer J.
    Ann N Y Acad Sci; 2007 Dec 15; 1115():212-20. PubMed ID: 18033750
    [Abstract] [Full Text] [Related]

  • 18. Reverse engineering gene regulatory networks.
    Hartemink AJ.
    Nat Biotechnol; 2005 May 15; 23(5):554-5. PubMed ID: 15877071
    [No Abstract] [Full Text] [Related]

  • 19. 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]

  • 20. 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]

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