These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

156 related articles for article (PubMed ID: 34162329)

  • 1. 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]  

  • 2. 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]  

  • 3. Selecting summary statistics in approximate Bayesian computation for calibrating stochastic models.
    Burr T; Skurikhin A
    Biomed Res Int; 2013; 2013():210646. PubMed ID: 24288668
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Inferring the interaction rules of complex systems with graph neural networks and approximate Bayesian computation.
    Gaskell J; Campioni N; Morales JM; Husmeier D; Torney CJ
    J R Soc Interface; 2023 Jan; 20(198):20220676. PubMed ID: 36596456
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. An approximate Bayesian computation approach to parameter estimation in a stochastic stage-structured population model.
    Scranton K; Knape J; de Valpine P
    Ecology; 2014 May; 95(5):1418-28. PubMed ID: 25000772
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Mathematical Modelling of Parasite Dynamics: A Stochastic Simulation-Based Approach and Parameter Estimation via Modified Sequential-Type Approximate Bayesian Computation.
    Twumasi C; Cable J; Pepelyshev A
    Bull Math Biol; 2024 Apr; 86(5):54. PubMed ID: 38598133
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Topological approximate Bayesian computation for parameter inference of an angiogenesis model.
    Thorne T; Kirk PDW; Harrington HA
    Bioinformatics; 2022 Apr; 38(9):2529-2535. PubMed ID: 35191485
    [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. Inferring extrinsic noise from single-cell gene expression data using approximate Bayesian computation.
    Lenive O; W Kirk PD; H Stumpf MP
    BMC Syst Biol; 2016 Aug; 10(1):81. PubMed ID: 27549182
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Bayesian computation via empirical likelihood.
    Mengersen KL; Pudlo P; Robert CP
    Proc Natl Acad Sci U S A; 2013 Jan; 110(4):1321-6. PubMed ID: 23297233
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Approximate maximum likelihood estimation for population genetic inference.
    Bertl J; Ewing G; Kosiol C; Futschik A
    Stat Appl Genet Mol Biol; 2017 Nov; 16(5-6):387-405. PubMed ID: 29095700
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Informative and adaptive distances and summary statistics in sequential approximate Bayesian computation.
    Schälte Y; Hasenauer J
    PLoS One; 2023; 18(5):e0285836. PubMed ID: 37216372
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Extending approximate Bayesian computation with supervised machine learning to infer demographic history from genetic polymorphisms using DIYABC Random Forest.
    Collin FD; Durif G; Raynal L; Lombaert E; Gautier M; Vitalis R; Marin JM; Estoup A
    Mol Ecol Resour; 2021 Nov; 21(8):2598-2613. PubMed ID: 33950563
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An adaptive multi-level simulation algorithm for stochastic biological systems.
    Lester C; Yates CA; Giles MB; Baker RE
    J Chem Phys; 2015 Jan; 142(2):024113. PubMed ID: 25591344
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation.
    AKesson M; Singh P; Wrede F; Hellander A
    IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(6):3353-3365. PubMed ID: 34460381
    [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. Accurate stochastic simulation via the step anticipation tau-leaping (SAL) algorithm.
    Sehl M; Alekseyenko AV; Lange KL
    J Comput Biol; 2009 Sep; 16(9):1195-208. PubMed ID: 19772431
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Lack of confidence in approximate Bayesian computation model choice.
    Robert CP; Cornuet JM; Marin JM; Pillai NS
    Proc Natl Acad Sci U S A; 2011 Sep; 108(37):15112-7. PubMed ID: 21876135
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.