BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

578 related articles for article (PubMed ID: 16766556)

  • 1. Transcriptome network component analysis with limited microarray data.
    Galbraith SJ; Tran LM; Liao JC
    Bioinformatics; 2006 Aug; 22(15):1886-94. PubMed ID: 16766556
    [TBL] [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; 22(24):3040-6. PubMed ID: 17060361
    [TBL] [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; 24(11):1349-58. PubMed ID: 18400771
    [TBL] [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; 22(6):747-54. PubMed ID: 16403793
    [TBL] [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; 9(2):198. PubMed ID: 22820312
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Yeast cell cycle transcription factors identification by variable selection criteria.
    Wang H; Wang YH; Wu WS
    Gene; 2011 Oct; 485(2):172-6. PubMed ID: 21703335
    [TBL] [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; 21(1):71-9. PubMed ID: 15308537
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Inference of transcriptional regulatory network by two-stage constrained space factor analysis.
    Yu T; Li KC
    Bioinformatics; 2005 Nov; 21(21):4033-8. PubMed ID: 16144806
    [TBL] [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; 22(19):2413-20. PubMed ID: 16864593
    [TBL] [Abstract][Full Text] [Related]  

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

  • 11. Network constrained clustering for gene microarray data.
    Zhu D; Hero AO; Cheng H; Khanna R; Swaroop A
    Bioinformatics; 2005 Nov; 21(21):4014-20. PubMed ID: 16141248
    [TBL] [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; 2(12):e169. PubMed ID: 17194216
    [TBL] [Abstract][Full Text] [Related]  

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

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

  • 15. Inferring transcriptional regulatory networks from high-throughput data.
    Wang RS; Wang Y; Zhang XS; Chen L
    Bioinformatics; 2007 Nov; 23(22):3056-64. PubMed ID: 17890736
    [TBL] [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; 24(7):932-42. PubMed ID: 18292116
    [TBL] [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; 22(3):332-40. PubMed ID: 16303796
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Predicting genetic regulatory response using classification.
    Middendorf M; Kundaje A; Wiggins C; Freund Y; Leslie C
    Bioinformatics; 2004 Aug; 20 Suppl 1():i232-40. PubMed ID: 15262804
    [TBL] [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; 24(3):404-11. PubMed ID: 18083717
    [TBL] [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; 102(38):13532-7. PubMed ID: 16157877
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 29.