BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

432 related articles for article (PubMed ID: 25679611)

  • 1. Variational mean-field algorithm for efficient inference in large systems of stochastic differential equations.
    Vrettas MD; Opper M; Cornford D
    Phys Rev E Stat Nonlin Soft Matter Phys; 2015 Jan; 91(1):012148. PubMed ID: 25679611
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Stochastic differential equations as a tool to regularize the parameter estimation problem for continuous time dynamical systems given discrete time measurements.
    Leander J; Lundh T; Jirstrand M
    Math Biosci; 2014 May; 251():54-62. PubMed ID: 24631177
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Variational superposed Gaussian approximation for time-dependent solutions of Langevin equations.
    Hasegawa Y
    Phys Rev E Stat Nonlin Soft Matter Phys; 2015 Apr; 91(4):042912. PubMed ID: 25974567
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Accurate hybrid stochastic simulation of a system of coupled chemical or biochemical reactions.
    Salis H; Kaznessis Y
    J Chem Phys; 2005 Feb; 122(5):54103. PubMed ID: 15740306
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Fitting Nonlinear Ordinary Differential Equation Models with Random Effects and Unknown Initial Conditions Using the Stochastic Approximation Expectation-Maximization (SAEM) Algorithm.
    Chow SM; Lu Z; Sherwood A; Zhu H
    Psychometrika; 2016 Mar; 81(1):102-34. PubMed ID: 25416456
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Moment fitting for parameter inference in repeatedly and partially observed stochastic biological models.
    Kügler P
    PLoS One; 2012; 7(8):e43001. PubMed ID: 22900079
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Stochastic quasi-steady state approximations for asymptotic solutions of the chemical master equation.
    Alarcón T
    J Chem Phys; 2014 May; 140(18):184109. PubMed ID: 24832255
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A stochastic variational framework for Recurrent Gaussian Processes models.
    Mattos CLC; Barreto GA
    Neural Netw; 2019 Apr; 112():54-72. PubMed ID: 30753963
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Reliable and efficient parameter estimation using approximate continuum limit descriptions of stochastic models.
    Simpson MJ; Baker RE; Buenzli PR; Nicholson R; Maclaren OJ
    J Theor Biol; 2022 Sep; 549():111201. PubMed ID: 35752285
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Determination of firing times for the stochastic Fitzhugh-Nagumo neuronal model.
    Tuckwell HC; Rodriguez R; Wan FY
    Neural Comput; 2003 Jan; 15(1):143-59. PubMed ID: 12590823
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Spatially distributed stochastic systems: Equation-free and equation-assisted preconditioned computations.
    Qiao L; Erban R; Kelley CT; Kevrekidis IG
    J Chem Phys; 2006 Nov; 125(20):204108. PubMed ID: 17144691
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Population stochastic modelling (PSM)--an R package for mixed-effects models based on stochastic differential equations.
    Klim S; Mortensen SB; Kristensen NR; Overgaard RV; Madsen H
    Comput Methods Programs Biomed; 2009 Jun; 94(3):279-89. PubMed ID: 19268387
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Approximate inference for disease mapping with sparse Gaussian processes.
    Vanhatalo J; Pietiläinen V; Vehtari A
    Stat Med; 2010 Jul; 29(15):1580-607. PubMed ID: 20552572
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Evaluation of stochastic differential equation approximation of ion channel gating models.
    Bruce IC
    Ann Biomed Eng; 2009 Apr; 37(4):824-38. PubMed ID: 19152030
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identifying almost invariant sets in stochastic dynamical systems.
    Billings L; Schwartz IB
    Chaos; 2008 Jun; 18(2):023122. PubMed ID: 18601489
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A stochastic hybrid systems based framework for modeling dependent failure processes.
    Fan M; Zeng Z; Zio E; Kang R; Chen Y
    PLoS One; 2017; 12(2):e0172680. PubMed ID: 28231313
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Bayesian inference for stochastic kinetic models using a diffusion approximation.
    Golightly A; Wilkinson DJ
    Biometrics; 2005 Sep; 61(3):781-8. PubMed ID: 16135029
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A variational approach to the stochastic aspects of cellular signal transduction.
    Lan Y; Wolynes PG; Papoian GA
    J Chem Phys; 2006 Sep; 125(12):124106. PubMed ID: 17014165
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Representation of nonlinear random transformations by non-gaussian stochastic neural networks.
    Turchetti C; Crippa P; Pirani M; Biagetti G
    IEEE Trans Neural Netw; 2008 Jun; 19(6):1033-60. PubMed ID: 18541503
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Inference for reaction networks using the linear noise approximation.
    Fearnhead P; Giagos V; Sherlock C
    Biometrics; 2014 Jun; 70(2):457-66. PubMed ID: 24467590
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 22.