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 *

113 related articles for article (PubMed ID: 22291223)

  • 1. Data-based stochastic subgrid-scale parametrization: an approach using cluster-weighted modelling.
    Kwasniok F
    Philos Trans A Math Phys Eng Sci; 2012 Mar; 370(1962):1061-86. PubMed ID: 22291223
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A data-driven multi-cloud model for stochastic parametrization of deep convection.
    Dorrestijn J; Crommelin DT; Biello JA; Böing SJ
    Philos Trans A Math Phys Eng Sci; 2013 May; 371(1991):20120374. PubMed ID: 23588052
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Stochastic subgrid-scale modelling for non-equilibrium geophysical flows.
    Zidikheri MJ; Frederiksen JS
    Philos Trans A Math Phys Eng Sci; 2010 Jan; 368(1910):145-60. PubMed ID: 19948548
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Subgrid modelling for geophysical flows.
    Frederiksen JS; O'Kane TJ; Zidikheri MJ
    Philos Trans A Math Phys Eng Sci; 2013 Jan; 371(1982):20120166. PubMed ID: 23185051
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Large eddy simulation of the atmosphere on various scales.
    Cullen MJ; Brown AR
    Philos Trans A Math Phys Eng Sci; 2009 Jul; 367(1899):2947-56. PubMed ID: 19531514
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Stochastic parametrizations and model uncertainty in the Lorenz '96 system.
    Arnold HM; Moroz IM; Palmer TN
    Philos Trans A Math Phys Eng Sci; 2013 May; 371(1991):20110479. PubMed ID: 23588046
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Assessing parametrization uncertainty associated with horizontal resolution in numerical weather prediction models.
    Shutts G; Pallarès AC
    Philos Trans A Math Phys Eng Sci; 2014 Jun; 372(2018):20130284. PubMed ID: 24842034
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Assessment and statistical modeling of the relationship between remotely sensed aerosol optical depth and PM2.5 in the eastern United States.
    Paciorek CJ; Liu Y;
    Res Rep Health Eff Inst; 2012 May; (167):5-83; discussion 85-91. PubMed ID: 22838153
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Introduction. Stochastic physics and climate modelling.
    Palmer TN; Williams PD
    Philos Trans A Math Phys Eng Sci; 2008 Jul; 366(1875):2421-7. PubMed ID: 18445565
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Combining data assimilation and machine learning to infer unresolved scale parametrization.
    Brajard J; Carrassi A; Bocquet M; Bertino L
    Philos Trans A Math Phys Eng Sci; 2021 Apr; 379(2194):20200086. PubMed ID: 33583267
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An assessment of the effect of data partitioning on the performance of modelling algorithms for habitat suitability for ticks.
    Estrada-Peña A; Thuiller W
    Med Vet Entomol; 2008 Sep; 22(3):248-57. PubMed ID: 18816273
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Comparison of different uncertainty techniques in urban stormwater quantity and quality modelling.
    Dotto CB; Mannina G; Kleidorfer M; Vezzaro L; Henrichs M; McCarthy DT; Freni G; Rauch W; Deletic A
    Water Res; 2012 May; 46(8):2545-58. PubMed ID: 22402270
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Modelling conjugation with stochastic differential equations.
    Philipsen KR; Christiansen LE; Hasman H; Madsen H
    J Theor Biol; 2010 Mar; 263(1):134-42. PubMed ID: 19941872
    [TBL] [Abstract][Full Text] [Related]  

  • 14. FLAMINGO: calibrating large cosmological hydrodynamical simulations with machine learning.
    Kugel R; Schaye J; Schaller M; Helly JC; Braspenning J; Elbers W; Frenk CS; McCarthy IG; Kwan J; Salcido J; van Daalen MP; Vandenbroucke B; Bahé YM; Borrow J; Chaikin E; Huško F; Jenkins A; Lacey CG; Nobels FSJ; Vernon I
    Mon Not R Astron Soc; 2023 Dec; 526(4):6103-6127. PubMed ID: 37900898
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The Impact of a Stochastic Parameterization Scheme on Climate Sensitivity in EC-Earth.
    Strommen K; Watson PAG; Palmer TN
    J Geophys Res Atmos; 2019 Dec; 124(23):12726-12740. PubMed ID: 31998573
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Modelling local and global effects on the risk of contracting Tuberculosis using stochastic Markov-chain models.
    Hoad KA; van't Hoog AH; Rosen D; Marston B; Nyabiage L; Williams BG; Dye C; Cheng RC
    Math Biosci; 2009 Apr; 218(2):98-104. PubMed ID: 19563744
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A priori study of subgrid-scale flux of a passive scalar in isotropic homogeneous turbulence.
    Chumakov SG
    Phys Rev E Stat Nonlin Soft Matter Phys; 2008 Sep; 78(3 Pt 2):036313. PubMed ID: 18851149
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Impact of a quasi-stochastic cellular automaton backscatter scheme on the systematic error and seasonal prediction skill of a global climate model.
    Berner J; Doblas-Reyes FJ; Palmer TN; Shutts G; Weisheimer A
    Philos Trans A Math Phys Eng Sci; 2008 Jul; 366(1875):2561-79. PubMed ID: 18445570
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Estimating partial observability and nonlinear climate effects on stochastic community dynamics of migratory waterfowl.
    Almaraz P; Green AJ; Aguilera E; Rendón MA; Bustamante J
    J Anim Ecol; 2012 Sep; 81(5):1113-25. PubMed ID: 22372885
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Evaluation of Parameterized Convective Transport of Trace Gases in Simulation of Storms Observed During the DC3 Field Campaign.
    Li Y; Pickering KE; Barth MC; Bela MM; Cummings KA; Allen DJ
    J Geophys Res Atmos; 2018 Sep; 123(19):11238-11261. PubMed ID: 32023330
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.