BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

109 related articles for article (PubMed ID: 24510727)

  • 1. Modeling HIV-1 dynamics and fitness in cell culture across scales.
    Immonen T; Somersalo E; Calvetti D
    Bull Math Biol; 2014 Feb; 76(2):486-514. PubMed ID: 24510727
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Bayesian approach to parameter estimation in HIV dynamical models.
    Putter H; Heisterkamp SH; Lange JM; de Wolf F
    Stat Med; 2002 Aug; 21(15):2199-214. PubMed ID: 12210633
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A hybrid stochastic-deterministic computational model accurately describes spatial dynamics and virus diffusion in HIV-1 growth competition assay.
    Immonen T; Gibson R; Leitner T; Miller MA; Arts EJ; Somersalo E; Calvetti D
    J Theor Biol; 2012 Nov; 312():120-32. PubMed ID: 22814476
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bayesian estimation of HIV-1 dynamics in vivo.
    Ushakova A; Pettersen FO; Mæland A; Lindqvist BH; Kvale D
    Math Med Biol; 2015 Mar; 32(1):38-55. PubMed ID: 24078026
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A mathematical model of cell-to-cell spread of HIV-1 that includes a time delay.
    Culshaw RV; Ruan S; Webb G
    J Math Biol; 2003 May; 46(5):425-44. PubMed ID: 12750834
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A stochastic model for early HIV-1 population dynamics.
    Tuckwell HC; Le Corfec E
    J Theor Biol; 1998 Dec; 195(4):451-63. PubMed ID: 9837702
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Markov chain Monte Carlo approach to parameter estimation in the FitzHugh-Nagumo model.
    Jensen AC; Ditlevsen S; Kessler M; Papaspiliopoulos O
    Phys Rev E Stat Nonlin Soft Matter Phys; 2012 Oct; 86(4 Pt 1):041114. PubMed ID: 23214536
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A gradient Markov chain Monte Carlo algorithm for computing multivariate maximum likelihood estimates and posterior distributions: mixture dose-response assessment.
    Li R; Englehardt JD; Li X
    Risk Anal; 2012 Feb; 32(2):345-59. PubMed ID: 21906114
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Modeling and estimation of kinetic parameters and replicative fitness of HIV-1 from flow-cytometry-based growth competition experiments.
    Miao H; Dykes C; Demeter LM; Cavenaugh J; Park SY; Perelson AS; Wu H
    Bull Math Biol; 2008 Aug; 70(6):1749-71. PubMed ID: 18648886
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Exploring heterogeneity in tumour data using Markov chain Monte Carlo.
    de Gunst MC; Dewanji A; Luebeck EG
    Stat Med; 2003 May; 22(10):1691-707. PubMed ID: 12720305
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Data cloning: easy maximum likelihood estimation for complex ecological models using Bayesian Markov chain Monte Carlo methods.
    Lele SR; Dennis B; Lutscher F
    Ecol Lett; 2007 Jul; 10(7):551-63. PubMed ID: 17542934
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Monte Carlo estimates of natural variation in HIV infection.
    Heffernan JM; Wahl LM
    J Theor Biol; 2005 Sep; 236(2):137-53. PubMed ID: 16005307
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Approximate Bayesian computation (ABC) gives exact results under the assumption of model error.
    Wilkinson RD
    Stat Appl Genet Mol Biol; 2013 May; 12(2):129-41. PubMed ID: 23652634
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Generation of multicellular spatiotemporal models of population dynamics from ordinary differential equations, with applications in viral infection.
    Sego TJ; Aponte-Serrano JO; Gianlupi JF; Glazier JA
    BMC Biol; 2021 Sep; 19(1):196. PubMed ID: 34496857
    [TBL] [Abstract][Full Text] [Related]  

  • 16. HIV with contact tracing: a case study in approximate Bayesian computation.
    Blum MG; Tran VC
    Biostatistics; 2010 Oct; 11(4):644-60. PubMed ID: 20457785
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Estimation of population pharmacokinetic parameters of saquinavir in HIV patients with the MONOLIX software.
    Lavielle M; Mentré F
    J Pharmacokinet Pharmacodyn; 2007 Apr; 34(2):229-49. PubMed ID: 17211713
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Bayesian inference for finite mixtures of univariate and multivariate skew-normal and skew-t distributions.
    Frühwirth-Schnatter S; Pyne S
    Biostatistics; 2010 Apr; 11(2):317-36. PubMed ID: 20110247
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A dynamical study of a cellular automata model of the spread of HIV in a lymph node.
    Burkhead EG; Hawkins JM; Molinek DK
    Bull Math Biol; 2009 Jan; 71(1):25-74. PubMed ID: 18758865
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 6.