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 *

195 related articles for article (PubMed ID: 25854759)

  • 1. Bayesian nonlinear model selection for gene regulatory networks.
    Ni Y; Stingo FC; Baladandayuthapani V
    Biometrics; 2015 Sep; 71(3):585-95. PubMed ID: 25854759
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Bayesian variable selection with graphical structure learning: Applications in integrative genomics.
    Kundu S; Cheng Y; Shin M; Manyam G; Mallick BK; Baladandayuthapani V
    PLoS One; 2018; 13(7):e0195070. PubMed ID: 30059495
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Inferring the time-invariant topology of a nonlinear sparse gene regulatory network using fully Bayesian spline autoregression.
    Morrissey ER; Juárez MA; Denby KJ; Burroughs NJ
    Biostatistics; 2011 Oct; 12(4):682-94. PubMed ID: 21551122
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Joint Bayesian variable and graph selection for regression models with network-structured predictors.
    Peterson CB; Stingo FC; Vannucci M
    Stat Med; 2016 Mar; 35(7):1017-31. PubMed ID: 26514925
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Gene regulation in glioblastoma: a combinatorial analysis of microRNAs and transcription factors.
    Gong X; Sun J; Zhao Z
    Int J Comput Biol Drug Des; 2011; 4(2):111-26. PubMed ID: 21712563
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Reconstruction of large-scale gene regulatory networks using Bayesian model averaging.
    Kim H; Gelenbe E
    IEEE Trans Nanobioscience; 2012 Sep; 11(3):259-65. PubMed ID: 22987132
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Bayesian network reconstruction using systems genetics data: comparison of MCMC methods.
    Tasaki S; Sauerwine B; Hoff B; Toyoshiba H; Gaiteri C; Chaibub Neto E
    Genetics; 2015 Apr; 199(4):973-89. PubMed ID: 25631319
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Bayesian hierarchical graph-structured model for pathway analysis using gene expression data.
    Zhou H; Zheng T
    Stat Appl Genet Mol Biol; 2013 Jun; 12(3):393-412. PubMed ID: 23735434
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Inference of Gene Regulatory Networks Using Bayesian Nonparametric Regression and Topology Information.
    Fan Y; Wang X; Peng Q
    Comput Math Methods Med; 2017; 2017():8307530. PubMed ID: 28133490
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Integrated regulatory models for inference of subtype-specific susceptibilities in glioblastoma.
    Liu Y; Shi N; Regev A; He S; Hemann MT
    Mol Syst Biol; 2020 Sep; 16(9):e9506. PubMed ID: 32974985
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Genomic data assimilation for estimating hybrid functional Petri net from time-course gene expression data.
    Nagasaki M; Yamaguchi R; Yoshida R; Imoto S; Doi A; Tamada Y; Matsuno H; Miyano S; Higuchi T
    Genome Inform; 2006; 17(1):46-61. PubMed ID: 17503355
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Bayesian connectivity-based approach to constructing probabilistic gene regulatory networks.
    Zhou X; Wang X; Pal R; Ivanov I; Bittner M; Dougherty ER
    Bioinformatics; 2004 Nov; 20(17):2918-27. PubMed ID: 15145802
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Bayesian network and nonparametric heteroscedastic regression for nonlinear modeling of genetic network.
    Imoto S; Sunyong K; Goto T; Aburatani S; Tashiro K; Kuhara S; Miyano S
    Proc IEEE Comput Soc Bioinform Conf; 2002; 1():219-27. PubMed ID: 15838138
    [TBL] [Abstract][Full Text] [Related]  

  • 14. LncRNA profile of glioblastoma reveals the potential role of lncRNAs in contributing to glioblastoma pathogenesis.
    Han L; Zhang K; Shi Z; Zhang J; Zhu J; Zhu S; Zhang A; Jia Z; Wang G; Yu S; Pu P; Dong L; Kang C
    Int J Oncol; 2012 Jun; 40(6):2004-12. PubMed ID: 22446686
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks.
    Ferrazzi F; Sebastiani P; Ramoni MF; Bellazzi R
    BMC Bioinformatics; 2007 May; 8 Suppl 5(Suppl 5):S2. PubMed ID: 17570861
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A geometrical approach to control and controllability of nonlinear dynamical networks.
    Wang LZ; Su RQ; Huang ZG; Wang X; Wang WX; Grebogi C; Lai YC
    Nat Commun; 2016 Apr; 7():11323. PubMed ID: 27076273
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Reconstructing gene-regulatory networks from time series, knock-out data, and prior knowledge.
    Geier F; Timmer J; Fleck C
    BMC Syst Biol; 2007 Feb; 1():11. PubMed ID: 17408501
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Sparse time series chain graphical models for reconstructing genetic networks.
    Abegaz F; Wit E
    Biostatistics; 2013 Jul; 14(3):586-99. PubMed ID: 23462022
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Differential Network Analysis via Weighted Fused Conditional Gaussian Graphical Model.
    Ou-Yang L; Zhang XF; Hu X; Yan H
    IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(6):2162-2169. PubMed ID: 31247559
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.