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 *

490 related articles for article (PubMed ID: 14764868)

  • 1. Inferring cellular networks using probabilistic graphical models.
    Friedman N
    Science; 2004 Feb; 303(5659):799-805. PubMed ID: 14764868
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Low-order conditional independence graphs for inferring genetic networks.
    Wille A; Bühlmann P
    Stat Appl Genet Mol Biol; 2006; 5():Article1. PubMed ID: 16646863
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Probabilistic representation of gene regulatory networks.
    Mao L; Resat H
    Bioinformatics; 2004 Sep; 20(14):2258-69. PubMed ID: 15073019
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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; 22(20):2523-31. PubMed ID: 16844710
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Benchmarking of dynamic Bayesian networks inferred from stochastic time-series data.
    David LA; Wiggins CH
    Ann N Y Acad Sci; 2007 Dec; 1115():90-101. PubMed ID: 17925346
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Gradient directed regularization for sparse Gaussian concentration graphs, with applications to inference of genetic networks.
    Li H; Gui J
    Biostatistics; 2006 Apr; 7(2):302-17. PubMed ID: 16326758
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Bioinformatics and cellular signaling.
    Papin J; Subramaniam S
    Curr Opin Biotechnol; 2004 Feb; 15(1):78-81. PubMed ID: 15102471
    [TBL] [Abstract][Full Text] [Related]  

  • 9. New probabilistic graphical models for genetic regulatory networks studies.
    Wang J; Cheung LW; Delabie J
    J Biomed Inform; 2005 Dec; 38(6):443-55. PubMed ID: 15996532
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Computational methods for discovering gene networks from expression data.
    Lee WP; Tzou WS
    Brief Bioinform; 2009 Jul; 10(4):408-23. PubMed ID: 19505889
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. H-CORE: enabling genome-scale Bayesian analysis of biological systems without prior knowledge.
    Jung S; Lee KH; Lee D
    Biosystems; 2007; 90(1):197-210. PubMed ID: 17005318
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Weighted lasso in graphical Gaussian modeling for large gene network estimation based on microarray data.
    Shimamura T; Imoto S; Yamaguchi R; Miyano S
    Genome Inform; 2007; 19():142-53. PubMed ID: 18546512
    [TBL] [Abstract][Full Text] [Related]  

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

  • 15. A framework for elucidating regulatory networks based on prior information and expression data.
    Gevaert O; Van Vooren S; De Moor B
    Ann N Y Acad Sci; 2007 Dec; 1115():240-8. PubMed ID: 17925352
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Extracting protein regulatory networks with graphical models.
    Grzegorczyk M
    Proteomics; 2007 Sep; 7 Suppl 1():51-9. PubMed ID: 17893851
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Inference of gene regulatory networks by means of dynamic differential Bayesian networks and nonparametric regression.
    Sugimoto N; Iba H
    Genome Inform; 2004; 15(2):121-30. PubMed ID: 15706498
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Cluster-based network model for time-course gene expression data.
    Inoue LY; Neira M; Nelson C; Gleave M; Etzioni R
    Biostatistics; 2007 Jul; 8(3):507-25. PubMed ID: 16980695
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Genome-wide expression studies of atherosclerosis: critical issues in methodology, analysis, interpretation of transcriptomics data.
    Bijnens AP; Lutgens E; Ayoubi T; Kuiper J; Horrevoets AJ; Daemen MJ
    Arterioscler Thromb Vasc Biol; 2006 Jun; 26(6):1226-35. PubMed ID: 16574897
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 25.