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 *

143 related articles for article (PubMed ID: 29518130)

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

  • 22. Inferring population history with DIY ABC: a user-friendly approach to approximate Bayesian computation.
    Cornuet JM; Santos F; Beaumont MA; Robert CP; Marin JM; Balding DJ; Guillemaud T; Estoup A
    Bioinformatics; 2008 Dec; 24(23):2713-9. PubMed ID: 18842597
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. 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]  

  • 25. 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]  

  • 26. ABC as a flexible framework to estimate demography over space and time: some cons, many pros.
    Bertorelle G; Benazzo A; Mona S
    Mol Ecol; 2010 Jul; 19(13):2609-25. PubMed ID: 20561199
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Taking error into account when fitting models using Approximate Bayesian Computation.
    van der Vaart E; Prangle D; Sibly RM
    Ecol Appl; 2018 Mar; 28(2):267-274. PubMed ID: 29178336
    [TBL] [Abstract][Full Text] [Related]  

  • 28. 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]  

  • 29. 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]  

  • 30. Calibration of stochastic, agent-based neuron growth models with approximate Bayesian computation.
    Duswald T; Breitwieser L; Thorne T; Wohlmuth B; Bauer R
    J Math Biol; 2024 Oct; 89(5):50. PubMed ID: 39379537
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Bayesian parameter estimation for the Wnt pathway: an infinite mixture models approach.
    Koutroumpas K; Ballarini P; Votsi I; Cournède PH
    Bioinformatics; 2016 Sep; 32(17):i781-i789. PubMed ID: 27587701
    [TBL] [Abstract][Full Text] [Related]  

  • 32. A framework for parameter estimation and model selection from experimental data in systems biology using approximate Bayesian computation.
    Liepe J; Kirk P; Filippi S; Toni T; Barnes CP; Stumpf MP
    Nat Protoc; 2014 Feb; 9(2):439-56. PubMed ID: 24457334
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Automating approximate Bayesian computation by local linear regression.
    Thornton KR
    BMC Genet; 2009 Jul; 10():35. PubMed ID: 19583871
    [TBL] [Abstract][Full Text] [Related]  

  • 34. BSMac: a MATLAB toolbox implementing a Bayesian spatial model for brain activation and connectivity.
    Zhang L; Agravat S; Derado G; Chen S; McIntosh BJ; Bowman FD
    J Neurosci Methods; 2012 Feb; 204(1):133-143. PubMed ID: 22101143
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. 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]  

  • 37. pyABC: distributed, likelihood-free inference.
    Klinger E; Rickert D; Hasenauer J
    Bioinformatics; 2018 Oct; 34(20):3591-3593. PubMed ID: 29762723
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. 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]  

  • 40. Kernel approximate Bayesian computation in population genetic inferences.
    Nakagome S; Fukumizu K; Mano S
    Stat Appl Genet Mol Biol; 2013 Dec; 12(6):667-78. PubMed ID: 24150124
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.