BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

155 related articles for article (PubMed ID: 24025688)

  • 1. Optimizing threshold-schedules for sequential approximate Bayesian computation: applications to molecular systems.
    Silk D; Filippi S; Stumpf MP
    Stat Appl Genet Mol Biol; 2013 Oct; 12(5):603-18. PubMed ID: 24025688
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. On optimality of kernels for approximate Bayesian computation using sequential Monte Carlo.
    Filippi S; Barnes CP; Cornebise J; Stumpf MP
    Stat Appl Genet Mol Biol; 2013 Mar; 12(1):87-107. PubMed ID: 23502346
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems.
    Toni T; Welch D; Strelkowa N; Ipsen A; Stumpf MP
    J R Soc Interface; 2009 Feb; 6(31):187-202. PubMed ID: 19205079
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Likelihood free inference for Markov processes: a comparison.
    Owen J; Wilkinson DJ; Gillespie CS
    Stat Appl Genet Mol Biol; 2015 Apr; 14(2):189-209. PubMed ID: 25720092
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An automatic adaptive method to combine summary statistics in approximate Bayesian computation.
    Harrison JU; Baker RE
    PLoS One; 2020; 15(8):e0236954. PubMed ID: 32760106
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Bayesian parameter inference and model selection by population annealing in systems biology.
    Murakami Y
    PLoS One; 2014; 9(8):e104057. PubMed ID: 25089832
    [TBL] [Abstract][Full Text] [Related]  

  • 8. GpABC: a Julia package for approximate Bayesian computation with Gaussian process emulation.
    Tankhilevich E; Ish-Horowicz J; Hameed T; Roesch E; Kleijn I; Stumpf MPH; He F
    Bioinformatics; 2020 May; 36(10):3286-3287. PubMed ID: 32022854
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A practical guide to pseudo-marginal methods for computational inference in systems biology.
    Warne DJ; Baker RE; Simpson MJ
    J Theor Biol; 2020 Jul; 496():110255. PubMed ID: 32223995
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Inference in high-dimensional parameter space.
    O'Hare A
    J Comput Biol; 2015 Nov; 22(11):997-1004. PubMed ID: 26176624
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Estimating parameters of a stochastic cell invasion model with fluorescent cell cycle labelling using approximate Bayesian computation.
    Carr MJ; Simpson MJ; Drovandi C
    J R Soc Interface; 2021 Sep; 18(182):20210362. PubMed ID: 34547212
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Bayesian phylogeny analysis via stochastic approximation Monte Carlo.
    Cheon S; Liang F
    Mol Phylogenet Evol; 2009 Nov; 53(2):394-403. PubMed ID: 19589389
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Efficient parametric inference for stochastic biological systems with measured variability.
    Johnston IG
    Stat Appl Genet Mol Biol; 2014 Jun; 13(3):379-90. PubMed ID: 24821877
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Approximate Bayesian computation schemes for parameter inference of discrete stochastic models using simulated likelihood density.
    Wu Q; Smith-Miles K; Tian T
    BMC Bioinformatics; 2014; 15 Suppl 12(Suppl 12):S3. PubMed ID: 25473744
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A comparison of Monte Carlo-based Bayesian parameter estimation methods for stochastic models of genetic networks.
    Mariño IP; Zaikin A; Míguez J
    PLoS One; 2017; 12(8):e0182015. PubMed ID: 28797087
    [TBL] [Abstract][Full Text] [Related]  

  • 17. AABC: approximate approximate Bayesian computation for inference in population-genetic models.
    Buzbas EO; Rosenberg NA
    Theor Popul Biol; 2015 Feb; 99():31-42. PubMed ID: 25261426
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Bayesian experimental design for models with intractable likelihoods.
    Drovandi CC; Pettitt AN
    Biometrics; 2013 Dec; 69(4):937-48. PubMed ID: 24131221
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Birth/birth-death processes and their computable transition probabilities with biological applications.
    Ho LST; Xu J; Crawford FW; Minin VN; Suchard MA
    J Math Biol; 2018 Mar; 76(4):911-944. PubMed ID: 28741177
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.