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 *

312 related articles for article (PubMed ID: 20714027)

  • 1. Estimating genome-wide gene networks using nonparametric Bayesian network models on massively parallel computers.
    Tamada Y; Imoto S; Araki H; Nagasaki M; Print C; Charnock-Jones DS; Miyano S
    IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(3):683-97. PubMed ID: 20714027
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. SAGA: a hybrid search algorithm for Bayesian Network structure learning of transcriptional regulatory networks.
    Adabor ES; Acquaah-Mensah GK; Oduro FT
    J Biomed Inform; 2015 Feb; 53():27-35. PubMed ID: 25181467
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Gene regulatory network clustering for graph layout based on microarray gene expression data.
    Kojima K; Imoto S; Nagasaki M; Miyano S
    Genome Inform; 2010; 24():84-95. PubMed ID: 22081591
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. Inferring large-scale gene regulatory networks using a low-order constraint-based algorithm.
    Wang M; Augusto Benedito V; Xuechun Zhao P; Udvardi M
    Mol Biosyst; 2010 Jun; 6(6):988-98. PubMed ID: 20485743
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A sub-space greedy search method for efficient Bayesian Network inference.
    Zhang Q; Cao Y; Li Y; Zhu Y; Sun SS; Guo D
    Comput Biol Med; 2011 Sep; 41(9):763-70. PubMed ID: 21741635
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Computational strategy for discovering druggable gene networks from genome-wide RNA expression profiles.
    Imoto S; Tamada Y; Araki H; Yasuda K; Print CG; Charnock-Jones SD; Sanders D; Savoie CJ; Tashiro K; Kuhara S; Miyano S
    Pac Symp Biocomput; 2006; ():559-71. PubMed ID: 17094269
    [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. Estimating sparse gene regulatory networks using a bayesian linear regression.
    Sarder P; Schierding W; Cobb JP; Nehorai A
    IEEE Trans Nanobioscience; 2010 Jun; 9(2):121-31. PubMed ID: 20650703
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An empirical Bayesian method for estimating biological networks from temporal microarray data.
    Rau A; Jaffrézic F; Foulley JL; Doerge RW
    Stat Appl Genet Mol Biol; 2010; 9():Article 9. PubMed ID: 20196759
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Hierarchical Probabilistic Interaction Modeling for Multiple Gene Expression Replicates.
    Patton KL; John DJ; Norris JL; Lewis DR; Muday GK
    IEEE/ACM Trans Comput Biol Bioinform; 2014; 11(2):336-46. PubMed ID: 26355781
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Inferring gene regulatory networks via nonlinear state-space models and exploiting sparsity.
    Noor A; Serpedin E; Nounou M; Nounou HN
    IEEE/ACM Trans Comput Biol Bioinform; 2012; 9(4):1203-11. PubMed ID: 22350207
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Reconstructing directed signed gene regulatory network from microarray data.
    Qiu P; Plevritis SK
    IEEE Trans Biomed Eng; 2011 Dec; 58(12):3518-21. PubMed ID: 21803675
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Reconstructing transcriptional regulatory networks using three-way mutual information and Bayesian networks.
    Luo W; Woolf PJ
    Methods Mol Biol; 2010; 674():401-18. PubMed ID: 20827604
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identifying drug active pathways from gene networks estimated by gene expression data.
    Tamada Y; Imoto S; Tashiro K; Kuhara S; Miyano S
    Genome Inform; 2005; 16(1):182-91. PubMed ID: 16362921
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 3off2: A network reconstruction algorithm based on 2-point and 3-point information statistics.
    Affeldt S; Verny L; Isambert H
    BMC Bioinformatics; 2016 Jan; 17 Suppl 2(Suppl 2):12. PubMed ID: 26823190
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Inferring gene networks from time series microarray data using dynamic Bayesian networks.
    Kim SY; Imoto S; Miyano S
    Brief Bioinform; 2003 Sep; 4(3):228-35. PubMed ID: 14582517
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An improved Bayesian network method for reconstructing gene regulatory network based on candidate auto selection.
    Xing L; Guo M; Liu X; Wang C; Wang L; Zhang Y
    BMC Genomics; 2017 Nov; 18(Suppl 9):844. PubMed ID: 29219084
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.