BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

412 related articles for article (PubMed ID: 25473744)

  • 1. 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]  

  • 2. Parameter inference for discretely observed stochastic kinetic models using stochastic gradient descent.
    Wang Y; Christley S; Mjolsness E; Xie X
    BMC Syst Biol; 2010 Jul; 4():99. PubMed ID: 20663171
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 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; 496():110255. PubMed ID: 32223995
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Accelerated regression-based summary statistics for discrete stochastic systems via approximate simulators.
    Jiang RM; Wrede F; Singh P; Hellander A; Petzold LR
    BMC Bioinformatics; 2021 Jun; 22(1):339. PubMed ID: 34162329
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Simulation and inference algorithms for stochastic biochemical reaction networks: from basic concepts to state-of-the-art.
    Warne DJ; Baker RE; Simpson MJ
    J R Soc Interface; 2019 Feb; 16(151):20180943. PubMed ID: 30958205
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Likelihood-free nested sampling for parameter inference of biochemical reaction networks.
    Mikelson J; Khammash M
    PLoS Comput Biol; 2020 Oct; 16(10):e1008264. PubMed ID: 33035218
    [TBL] [Abstract][Full Text] [Related]  

  • 11. ABC-SysBio--approximate Bayesian computation in Python with GPU support.
    Liepe J; Barnes C; Cule E; Erguler K; Kirk P; Toni T; Stumpf MP
    Bioinformatics; 2010 Jul; 26(14):1797-9. PubMed ID: 20591907
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Bayesian framework for the analysis of systems biology models of the brain.
    Russell-Buckland J; Barnes CP; Tachtsidis I
    PLoS Comput Biol; 2019 Apr; 15(4):e1006631. PubMed ID: 31026277
    [TBL] [Abstract][Full Text] [Related]  

  • 13. MONALISA for stochastic simulations of Petri net models of biochemical systems.
    Balazki P; Lindauer K; Einloft J; Ackermann J; Koch I
    BMC Bioinformatics; 2015 Jul; 16():215. PubMed ID: 26156221
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A tutorial introduction to Bayesian inference for stochastic epidemic models using Approximate Bayesian Computation.
    Kypraios T; Neal P; Prangle D
    Math Biosci; 2017 May; 287():42-53. PubMed ID: 27444577
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automated parameter estimation for biological models using Bayesian statistical model checking.
    Hussain F; Langmead CJ; Mi Q; Dutta-Moscato J; Vodovotz Y; Jha SK
    BMC Bioinformatics; 2015; 16 Suppl 17(Suppl 17):S8. PubMed ID: 26679759
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Statistical inference for stochastic simulation models--theory and application.
    Hartig F; Calabrese JM; Reineking B; Wiegand T; Huth A
    Ecol Lett; 2011 Aug; 14(8):816-27. PubMed ID: 21679289
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The signal within the noise: efficient inference of stochastic gene regulation models using fluorescence histograms and stochastic simulations.
    Lillacci G; Khammash M
    Bioinformatics; 2013 Sep; 29(18):2311-9. PubMed ID: 23821649
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Fundamentals and Recent Developments in Approximate Bayesian Computation.
    Lintusaari J; Gutmann MU; Dutta R; Kaski S; Corander J
    Syst Biol; 2017 Jan; 66(1):e66-e82. PubMed ID: 28175922
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Bayesian Estimation for Stochastic Gene Expression Using Multifidelity Models.
    Vo HD; Fox Z; Baetica A; Munsky B
    J Phys Chem B; 2019 Mar; 123(10):2217-2234. PubMed ID: 30777763
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 21.