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 *

191 related articles for article (PubMed ID: 29722041)

  • 1. Independence screening for high dimensional nonlinear additive ODE models with applications to dynamic gene regulatory networks.
    Xue H; Wu S; Wu Y; Ramirez Idarraga JC; Wu H
    Stat Med; 2018 Jul; 37(17):2630-2644. PubMed ID: 29722041
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Sparse Additive Ordinary Differential Equations for Dynamic Gene Regulatory Network Modeling.
    Wu H; Lu T; Xue H; Liang H
    J Am Stat Assoc; 2014 Apr; 109(506):700-716. PubMed ID: 25061254
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Variable Selection for Sparse High-Dimensional Nonlinear Regression Models by Combining Nonnegative Garrote and Sure Independence Screening.
    Wu S; Xue H; Wu Y; Wu H
    Stat Sin; 2014 Jul; 24(3):1365-1387. PubMed ID: 25170239
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Estimation of Ordinary Differential Equation Models for Gene Regulatory Networks Through Data Cloning.
    Son D; Kim J
    J Comput Biol; 2023 May; 30(5):609-618. PubMed ID: 36898058
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Inference of gene regulatory networks incorporating multi-source biological knowledge via a state space model with L1 regularization.
    Hasegawa T; Yamaguchi R; Nagasaki M; Miyano S; Imoto S
    PLoS One; 2014; 9(8):e105942. PubMed ID: 25162401
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Robust variable selection method for nonparametric differential equation models with application to nonlinear dynamic gene regulatory network analysis.
    Lu T
    J Biopharm Stat; 2016; 26(4):712-24. PubMed ID: 26098537
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Estimation of Dynamic Systems for Gene Regulatory Networks from Dependent Time-Course Data.
    Kim Y; Kim J
    J Comput Biol; 2018 Sep; 25(9):987-996. PubMed ID: 29905491
    [TBL] [Abstract][Full Text] [Related]  

  • 8. High Dimensional ODEs Coupled with Mixed-Effects Modeling Techniques for Dynamic Gene Regulatory Network Identification.
    Lu T; Liang H; Li H; Wu H
    J Am Stat Assoc; 2011; 106(496):1242-1258. PubMed ID: 23204614
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Reconstructing Genetic Regulatory Networks Using Two-Step Algorithms with the Differential Equation Models of Neural Networks.
    Chen CK
    Interdiscip Sci; 2018 Dec; 10(4):823-835. PubMed ID: 28748400
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Inference in dynamic systems using B-splines and quasilinearized ODE penalties.
    Frasso G; Jaeger J; Lambert P
    Biom J; 2016 May; 58(3):691-714. PubMed ID: 26602190
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Overview of Gene Regulatory Network Inference Based on Differential Equation Models.
    Yang B; Chen Y
    Curr Protein Pept Sci; 2020; 21(11):1054-1059. PubMed ID: 32053072
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Inference of gene regulatory networks based on nonlinear ordinary differential equations.
    Ma B; Fang M; Jiao X
    Bioinformatics; 2020 Dec; 36(19):4885-4893. PubMed ID: 31950997
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Numerical discretization-based estimation methods for ordinary differential equation models via penalized spline smoothing with applications in biomedical research.
    Wu H; Xue H; Kumar A
    Biometrics; 2012 Jun; 68(2):344-52. PubMed ID: 22376200
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Inferring nonlinear gene regulatory networks from gene expression data based on distance correlation.
    Guo X; Zhang Y; Hu W; Tan H; Wang X
    PLoS One; 2014; 9(2):e87446. PubMed ID: 24551058
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Inferring gene regulatory networks using transcriptional profiles as dynamical attractors.
    Li R; Rozum JC; Quail MM; Qasim MN; Sindi SS; Nobile CJ; Albert R; Hernday AD
    PLoS Comput Biol; 2023 Aug; 19(8):e1010991. PubMed ID: 37607190
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Using single-index ODEs to study dynamic gene regulatory network.
    Zhang Q; Yu Y; Zhang J; Liang H
    PLoS One; 2018; 13(2):e0192833. PubMed ID: 29474376
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Estimating dynamic models for gene regulation networks.
    Cao J; Zhao H
    Bioinformatics; 2008 Jul; 24(14):1619-24. PubMed ID: 18505754
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Generalized Ordinary Differential Equation Models.
    Miao H; Wu H; Xue H
    J Am Stat Assoc; 2014 Oct; 109(508):1672-1682. PubMed ID: 25544787
    [TBL] [Abstract][Full Text] [Related]  

  • 19. MICRAT: a novel algorithm for inferring gene regulatory networks using time series gene expression data.
    Yang B; Xu Y; Maxwell A; Koh W; Gong P; Zhang C
    BMC Syst Biol; 2018 Dec; 12(Suppl 7):115. PubMed ID: 30547796
    [TBL] [Abstract][Full Text] [Related]  

  • 20. From graph topology to ODE models for gene regulatory networks.
    Kang X; Hajek B; Hanzawa Y
    PLoS One; 2020; 15(6):e0235070. PubMed ID: 32603340
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.