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 *

60 related articles for article (PubMed ID: 28388123)

  • 1. Sensitivity estimation for stochastic models of biochemical reaction networks in the presence of extrinsic variability.
    Ruess J; Koeppl H; Zechner C
    J Chem Phys; 2017 Mar; 146(12):124122. PubMed ID: 28388123
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Parametric sensitivity analysis for biochemical reaction networks based on pathwise information theory.
    Pantazis Y; Katsoulakis MA; Vlachos DG
    BMC Bioinformatics; 2013 Oct; 14():311. PubMed ID: 24148216
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Efficient computation of parameter sensitivities of discrete stochastic chemical reaction networks.
    Rathinam M; Sheppard PW; Khammash M
    J Chem Phys; 2010 Jan; 132(3):034103. PubMed ID: 20095724
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An efficient and unbiased method for sensitivity analysis of stochastic reaction networks.
    Gupta A; Khammash M
    J R Soc Interface; 2014 Dec; 11(101):20140979. PubMed ID: 25354975
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A finite state projection method for steady-state sensitivity analysis of stochastic reaction networks.
    Dürrenberger P; Gupta A; Khammash M
    J Chem Phys; 2019 Apr; 150(13):134101. PubMed ID: 30954061
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Quasi-multiparameter sensitivity measure for robustness analysis of complex biochemical networks.
    Maeda K; Kurata H
    J Theor Biol; 2011 Mar; 272(1):174-86. PubMed ID: 21163268
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Efficient parameter sensitivity computation for spatially extended reaction networks.
    Lester C; Yates CA; Baker RE
    J Chem Phys; 2017 Jan; 146(4):044106. PubMed ID: 28147517
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Parametric and nonparametric population methods: their comparative performance in analysing a clinical dataset and two Monte Carlo simulation studies.
    Bustad A; Terziivanov D; Leary R; Port R; Schumitzky A; Jelliffe R
    Clin Pharmacokinet; 2006; 45(4):365-83. PubMed ID: 16584284
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Accelerated Sensitivity Analysis in High-Dimensional Stochastic Reaction Networks.
    Arampatzis G; Katsoulakis MA; Pantazis Y
    PLoS One; 2015; 10(7):e0130825. PubMed ID: 26161544
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Goal-oriented sensitivity analysis for lattice kinetic Monte Carlo simulations.
    Arampatzis G; Katsoulakis MA
    J Chem Phys; 2014 Mar; 140(12):124108. PubMed ID: 24697425
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Comparison of finite difference based methods to obtain sensitivities of stochastic chemical kinetic models.
    Srivastava R; Anderson DF; Rawlings JB
    J Chem Phys; 2013 Feb; 138(7):074110. PubMed ID: 23445000
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Data-Adaptive Bias-Reduced Doubly Robust Estimation.
    Vermeulen K; Vansteelandt S
    Int J Biostat; 2016 May; 12(1):253-82. PubMed ID: 27227724
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An efficient finite-difference strategy for sensitivity analysis of stochastic models of biochemical systems.
    Morshed M; Ingalls B; Ilie S
    Biosystems; 2017 Jan; 151():43-52. PubMed ID: 27914944
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A new measure of the robustness of biochemical networks.
    Chen BS; Wang YC; Wu WS; Li WH
    Bioinformatics; 2005 Jun; 21(11):2698-705. PubMed ID: 15731208
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Tensor methods for parameter estimation and bifurcation analysis of stochastic reaction networks.
    Liao S; Vejchodský T; Erban R
    J R Soc Interface; 2015 Jul; 12(108):20150233. PubMed ID: 26063822
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Blinded sample size re-estimation in three-arm trials with 'gold standard' design.
    Mütze T; Friede T
    Stat Med; 2017 Oct; 36(23):3636-3653. PubMed ID: 28608469
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Unbiased estimation of the Hessian for partially observed diffusions.
    Chada NK; Jasra A; Yu F
    Proc Math Phys Eng Sci; 2022 Jun; 478(2262):20210710. PubMed ID: 35756881
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Novel recurrent neural network for modelling biological networks: oscillatory p53 interaction dynamics.
    Ling H; Samarasinghe S; Kulasiri D
    Biosystems; 2013 Dec; 114(3):191-205. PubMed ID: 24012741
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Rao-Blackwellized particle filter for joint parameter estimation and biomass tracking in a stochastic predator-prey system.
    Martín-Fernández L; Gilioli G; Lanzarone E; Miguez J; Pasquali S; Ruggeri F; Ruiz DP
    Math Biosci Eng; 2014 Jun; 11(3):573-97. PubMed ID: 24506552
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Global parameter identification of stochastic reaction networks from single trajectories.
    Müller CL; Ramaswamy R; Sbalzarini IF
    Adv Exp Med Biol; 2012; 736():477-98. PubMed ID: 22161347
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 3.