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PUBMED FOR HANDHELDS

Journal Abstract Search


159 related items for PubMed ID: 32657404

  • 1. Efficient exact inference for dynamical systems with noisy measurements using sequential approximate Bayesian computation.
    Schälte Y, Hasenauer J.
    Bioinformatics; 2020 Jul 01; 36(Suppl_1):i551-i559. PubMed ID: 32657404
    [Abstract] [Full Text] [Related]

  • 2. pyABC: distributed, likelihood-free inference.
    Klinger E, Rickert D, Hasenauer J.
    Bioinformatics; 2018 Oct 15; 34(20):3591-3593. PubMed ID: 29762723
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  • 3. Approximate Bayesian computation (ABC) gives exact results under the assumption of model error.
    Wilkinson RD.
    Stat Appl Genet Mol Biol; 2013 May 06; 12(2):129-41. PubMed ID: 23652634
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  • 6. A practical guide to pseudo-marginal methods for computational inference in systems biology.
    Warne DJ, Baker RE, Simpson MJ.
    J Theor Biol; 2020 Jul 07; 496():110255. PubMed ID: 32223995
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  • 7. al3c: high-performance software for parameter inference using Approximate Bayesian Computation.
    Stram AH, Marjoram P, Chen GK.
    Bioinformatics; 2015 Nov 01; 31(21):3549-51. PubMed ID: 26142186
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  • 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 01; 36(10):3286-3287. PubMed ID: 32022854
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  • 9. Efficient parametric inference for stochastic biological systems with measured variability.
    Johnston IG.
    Stat Appl Genet Mol Biol; 2014 Jun 01; 13(3):379-90. PubMed ID: 24821877
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  • 10. A comparison of approximate versus exact techniques for Bayesian parameter inference in nonlinear ordinary differential equation models.
    Alahmadi AA, Flegg JA, Cochrane DG, Drovandi CC, Keith JM.
    R Soc Open Sci; 2020 Mar 01; 7(3):191315. PubMed ID: 32269786
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  • 11. Topological approximate Bayesian computation for parameter inference of an angiogenesis model.
    Thorne T, Kirk PDW, Harrington HA.
    Bioinformatics; 2022 Apr 28; 38(9):2529-2535. PubMed ID: 35191485
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  • 12. An automatic adaptive method to combine summary statistics in approximate Bayesian computation.
    Harrison JU, Baker RE.
    PLoS One; 2020 Apr 28; 15(8):e0236954. PubMed ID: 32760106
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  • 15. Markov chain Monte Carlo inference for Markov jump processes via the linear noise approximation.
    Stathopoulos V, Girolami MA.
    Philos Trans A Math Phys Eng Sci; 2013 Feb 13; 371(1984):20110541. PubMed ID: 23277599
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  • 16. Likelihood-free nested sampling for parameter inference of biochemical reaction networks.
    Mikelson J, Khammash M.
    PLoS Comput Biol; 2020 Oct 13; 16(10):e1008264. PubMed ID: 33035218
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  • 18. Bayesian inference of biochemical kinetic parameters using the linear noise approximation.
    Komorowski M, Finkenstädt B, Harper CV, Rand DA.
    BMC Bioinformatics; 2009 Oct 19; 10():343. PubMed ID: 19840370
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  • 19. Implementation of a practical Markov chain Monte Carlo sampling algorithm in PyBioNetFit.
    Neumann J, Lin YT, Mallela A, Miller EF, Colvin J, Duprat AT, Chen Y, Hlavacek WS, Posner RG.
    Bioinformatics; 2022 Mar 04; 38(6):1770-1772. PubMed ID: 34986226
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