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Journal Abstract Search

573 related items for PubMed ID: 16766556

  • 1. Transcriptome network component analysis with limited microarray data.
    Galbraith SJ, Tran LM, Liao JC.
    Bioinformatics; 2006 Aug 01; 22(15):1886-94. PubMed ID: 16766556
    [Abstract] [Full Text] [Related]

  • 2. 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]

  • 3. 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]

  • 4. Using a state-space model with hidden variables to infer transcription factor activities.
    Li Z, Shaw SM, Yedwabnick MJ, Chan C.
    Bioinformatics; 2006 Mar 15; 22(6):747-54. PubMed ID: 16403793
    [Abstract] [Full Text] [Related]

  • 5. Transcription network analysis by a sparse binary factor analysis algorithm.
    Tu S, Chen R, Xu L.
    J Integr Bioinform; 2012 Jul 23; 9(2):198. PubMed ID: 22820312
    [Abstract] [Full Text] [Related]

  • 6. Yeast cell cycle transcription factors identification by variable selection criteria.
    Wang H, Wang YH, Wu WS.
    Gene; 2011 Oct 10; 485(2):172-6. PubMed ID: 21703335
    [Abstract] [Full Text] [Related]

  • 7. A new dynamic Bayesian network (DBN) approach for identifying gene regulatory networks from time course microarray data.
    Zou M, Conzen SD.
    Bioinformatics; 2005 Jan 01; 21(1):71-9. PubMed ID: 15308537
    [Abstract] [Full Text] [Related]

  • 8. Inference of transcriptional regulatory network by two-stage constrained space factor analysis.
    Yu T, Li KC.
    Bioinformatics; 2005 Nov 01; 21(21):4033-8. PubMed ID: 16144806
    [Abstract] [Full Text] [Related]

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  • 11. Network constrained clustering for gene microarray data.
    Zhu D, Hero AO, Cheng H, Khanna R, Swaroop A.
    Bioinformatics; 2005 Nov 01; 21(21):4014-20. PubMed ID: 16141248
    [Abstract] [Full Text] [Related]

  • 12. Connectivity in the yeast cell cycle transcription network: inferences from neural networks.
    Hart CE, Mjolsness E, Wold BJ.
    PLoS Comput Biol; 2006 Dec 22; 2(12):e169. PubMed ID: 17194216
    [Abstract] [Full Text] [Related]

  • 13. Biological network mapping and source signal deduction.
    Brynildsen MP, Wu TY, Jang SS, Liao JC.
    Bioinformatics; 2007 Jul 15; 23(14):1783-91. PubMed ID: 17495996
    [Abstract] [Full Text] [Related]

  • 14. Identification of transcription factor cooperativity via stochastic system model.
    Chang YH, Wang YC, Chen BS.
    Bioinformatics; 2006 Sep 15; 22(18):2276-82. PubMed ID: 16844711
    [Abstract] [Full Text] [Related]

  • 15. Inferring transcriptional regulatory networks from high-throughput data.
    Wang RS, Wang Y, Zhang XS, Chen L.
    Bioinformatics; 2007 Nov 15; 23(22):3056-64. PubMed ID: 17890736
    [Abstract] [Full Text] [Related]

  • 16. Statistical inference of transcriptional module-based gene networks from time course gene expression profiles by using state space models.
    Hirose O, Yoshida R, Imoto S, Yamaguchi R, Higuchi T, Charnock-Jones DS, Print C, Miyano S.
    Bioinformatics; 2008 Apr 01; 24(7):932-42. PubMed ID: 18292116
    [Abstract] [Full Text] [Related]

  • 17. A bi-dimensional regression tree approach to the modeling of gene expression regulation.
    Ruan J, Zhang W.
    Bioinformatics; 2006 Feb 01; 22(3):332-40. PubMed ID: 16303796
    [Abstract] [Full Text] [Related]

  • 18. Predicting genetic regulatory response using classification.
    Middendorf M, Kundaje A, Wiggins C, Freund Y, Leslie C.
    Bioinformatics; 2004 Aug 04; 20 Suppl 1():i232-40. PubMed ID: 15262804
    [Abstract] [Full Text] [Related]

  • 19. Incorporating gene networks into statistical tests for genomic data via a spatially correlated mixture model.
    Wei P, Pan W.
    Bioinformatics; 2008 Feb 01; 24(3):404-11. PubMed ID: 18083717
    [Abstract] [Full Text] [Related]

  • 20. Statistical methods for identifying yeast cell cycle transcription factors.
    Tsai HK, Lu HH, Li WH.
    Proc Natl Acad Sci U S A; 2005 Sep 20; 102(38):13532-7. PubMed ID: 16157877
    [Abstract] [Full Text] [Related]

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