These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

65 related articles for article (PubMed ID: 17108514)

  • 1. Inferring gene expression networks via static and dynamic data integration.
    Ferrazzi F; Magni P; Sacchi L; Bellazzi R
    Stud Health Technol Inform; 2006; 124():119-24. PubMed ID: 17108514
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Inferring gene regulatory networks by integrating static and dynamic data.
    Ferrazzi F; Magni P; Sacchi L; Nuzzo A; Petrovic U; Bellazzi R
    Int J Med Inform; 2007 Dec; 76 Suppl 3():S462-75. PubMed ID: 17825607
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Dynamic Bayesian network and nonparametric regression for nonlinear modeling of gene networks from time series gene expression data.
    Kim S; Imoto S; Miyano S
    Biosystems; 2004 Jul; 75(1-3):57-65. PubMed ID: 15245804
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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; 23(13):1623-30. PubMed ID: 17463021
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Using prior knowledge to improve genetic network reconstruction from microarray data.
    Le Phillip P; Bahl A; Ungar LH
    In Silico Biol; 2004; 4(3):335-53. PubMed ID: 15724284
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Inferring gene regulatory relationships by combining target-target pattern recognition and regulator-specific motif examination.
    Wei H; Kaznessis Y
    Biotechnol Bioeng; 2005 Jan; 89(1):53-77. PubMed ID: 15540196
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization.
    Xu R; Venayagamoorthy GK; Wunsch DC
    Neural Netw; 2007 Oct; 20(8):917-27. PubMed ID: 17714912
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A hybrid Bayesian network learning method for constructing gene networks.
    Wang M; Chen Z; Cloutier S
    Comput Biol Chem; 2007 Oct; 31(5-6):361-72. PubMed ID: 17889617
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Inference of active transcriptional networks by integration of gene expression kinetics modeling and multisource data.
    Vu TT; Vohradsky J
    Genomics; 2009 May; 93(5):426-33. PubMed ID: 19442636
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Group SCAD regression analysis for microarray time course gene expression data.
    Wang L; Chen G; Li H
    Bioinformatics; 2007 Jun; 23(12):1486-94. PubMed ID: 17463025
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Reverse engineering genetic networks using evolutionary computation.
    Noman N; Iba H
    Genome Inform; 2005; 16(2):205-14. PubMed ID: 16901103
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Stochastic dynamic modeling of short gene expression time-series data.
    Wang Z; Yang F; Ho DW; Swift S; Tucker A; Liu X
    IEEE Trans Nanobioscience; 2008 Mar; 7(1):44-55. PubMed ID: 18334455
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Statistical methods in integrative analysis for gene regulatory modules.
    Zeng L; Wu J; Xie J
    Stat Appl Genet Mol Biol; 2008; 7(1):Article 28. PubMed ID: 18976224
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Method for inferring and extracting reliable genetic interactions from time-series profile of gene expression.
    Nakatsui M; Ueda T; Maki Y; Ono I; Okamoto M
    Math Biosci; 2008 Sep; 215(1):105-14. PubMed ID: 18638491
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of pairwise gene interaction using threshold logic.
    Gowda T; Vrudhula S; Kim S
    Ann N Y Acad Sci; 2009 Mar; 1158():276-86. PubMed ID: 19348649
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Inferring gene regulatory networks from temporal expression profiles under time-delay and noise.
    Kim S; Kim J; Cho KH
    Comput Biol Chem; 2007 Aug; 31(4):239-45. PubMed ID: 17631421
    [TBL] [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; 1115():178-202. PubMed ID: 17934055
    [TBL] [Abstract][Full Text] [Related]  

  • 20. List-decoding methods for inferring polynomials in finite dynamical gene network models.
    Dingel J; Milenkovic O
    Bioinformatics; 2009 Jul; 25(13):1686-93. PubMed ID: 19401400
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 4.