BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

274 related articles for article (PubMed ID: 17194216)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. Genome-wide system analysis reveals stable yet flexible network dynamics in yeast.
    Gustafsson M; Hörnquist M; Björkegren J; Tegnér J
    IET Syst Biol; 2009 Jul; 3(4):219-28. PubMed ID: 19640161
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. A new framework for identifying combinatorial regulation of transcription factors: a case study of the yeast cell cycle.
    Wang J
    J Biomed Inform; 2007 Dec; 40(6):707-25. PubMed ID: 17418646
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Detecting functional modules in the yeast protein-protein interaction network.
    Chen J; Yuan B
    Bioinformatics; 2006 Sep; 22(18):2283-90. PubMed ID: 16837529
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Modularized learning of genetic interaction networks from biological annotations and mRNA expression data.
    Lee PH; Lee D
    Bioinformatics; 2005 Jun; 21(11):2739-47. PubMed ID: 15797909
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. 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]  

  • 13. 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; 21(2):227-38. PubMed ID: 15377501
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Bayesian detection of periodic mRNA time profiles without use of training examples.
    Andersson CR; Isaksson A; Gustafsson MG
    BMC Bioinformatics; 2006 Feb; 7():63. PubMed ID: 16469110
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Construction of a reference gene association network from multiple profiling data: application to data analysis.
    Ucar D; Neuhaus I; Ross-MacDonald P; Tilford C; Parthasarathy S; Siemers N; Ji RR
    Bioinformatics; 2007 Oct; 23(20):2716-24. PubMed ID: 17846039
    [TBL] [Abstract][Full Text] [Related]  

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

  • 17. Synthetic microarray data generation with RANGE and NEMO.
    Long J; Roth M
    Bioinformatics; 2008 Jan; 24(1):132-4. PubMed ID: 17982169
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Hybrid genetic algorithm-neural network: feature extraction for unpreprocessed microarray data.
    Tong DL; Schierz AC
    Artif Intell Med; 2011 Sep; 53(1):47-56. PubMed ID: 21775110
    [TBL] [Abstract][Full Text] [Related]  

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

  • 20. Microarray data classified by artificial neural networks.
    Linder R; Richards T; Wagner M
    Methods Mol Biol; 2007; 382():345-72. PubMed ID: 18220242
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.