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 *

90 related articles for article (PubMed ID: 34320273)

  • 1. Discovering dynamic models of COVID-19 transmission.
    Liang J; Zhang X; Wang K; Tang M; Tian M
    Transbound Emerg Dis; 2022 Jul; 69(4):e64-e70. PubMed ID: 34320273
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Modeling and prediction of the transmission dynamics of COVID-19 based on the SINDy-LM method.
    Jiang YX; Xiong X; Zhang S; Wang JX; Li JC; Du L
    Nonlinear Dyn; 2021; 105(3):2775-2794. PubMed ID: 34312574
    [TBL] [Abstract][Full Text] [Related]  

  • 3. SINDy-PI: a robust algorithm for parallel implicit sparse identification of nonlinear dynamics.
    Kaheman K; Kutz JN; Brunton SL
    Proc Math Phys Eng Sci; 2020 Oct; 476(2242):20200279. PubMed ID: 33214760
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Sparse identification of Lagrangian for nonlinear dynamical systems via proximal gradient method.
    Purnomo A; Hayashibe M
    Sci Rep; 2023 May; 13(1):7919. PubMed ID: 37193704
    [TBL] [Abstract][Full Text] [Related]  

  • 5. SINDy-SA framework: enhancing nonlinear system identification with sensitivity analysis.
    Naozuka GT; Rocha HL; Silva RS; Almeida RC
    Nonlinear Dyn; 2022; 110(3):2589-2609. PubMed ID: 36060282
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Ensemble-SINDy: Robust sparse model discovery in the low-data, high-noise limit, with active learning and control.
    Fasel U; Kutz JN; Brunton BW; Brunton SL
    Proc Math Phys Eng Sci; 2022 Apr; 478(2260):20210904. PubMed ID: 35450025
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Sparsifying priors for Bayesian uncertainty quantification in model discovery.
    Hirsh SM; Barajas-Solano DA; Kutz JN
    R Soc Open Sci; 2022 Feb; 9(2):211823. PubMed ID: 35223066
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Algorithmic discovery of dynamic models from infectious disease data.
    Horrocks J; Bauch CT
    Sci Rep; 2020 Apr; 10(1):7061. PubMed ID: 32341374
    [TBL] [Abstract][Full Text] [Related]  

  • 9. WEAK SINDy: GALERKIN-BASED DATA-DRIVEN MODEL SELECTION.
    Messenger DA; Bortz DM
    Multiscale Model Simul; 2021; 19(3):1474-1497. PubMed ID: 38239761
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Sparse identification of nonlinear dynamics for model predictive control in the low-data limit.
    Kaiser E; Kutz JN; Brunton SL
    Proc Math Phys Eng Sci; 2018 Nov; 474(2219):20180335. PubMed ID: 30839858
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Sparse learning of stochastic dynamical equations.
    Boninsegna L; Nüske F; Clementi C
    J Chem Phys; 2018 Jun; 148(24):241723. PubMed ID: 29960307
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Data-driven discovery of coordinates and governing equations.
    Champion K; Lusch B; Kutz JN; Brunton SL
    Proc Natl Acad Sci U S A; 2019 Nov; 116(45):22445-22451. PubMed ID: 31636218
    [TBL] [Abstract][Full Text] [Related]  

  • 13. WEAK SINDY FOR PARTIAL DIFFERENTIAL EQUATIONS.
    Messenger DA; Bortz DM
    J Comput Phys; 2021 Oct; 443():. PubMed ID: 34744183
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Development of data-driven modeling method for nonlinear coupling components.
    Ryu T; Baek S
    Sci Rep; 2024 Jun; 14(1):14841. PubMed ID: 38937632
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Discovering governing equations from data by sparse identification of nonlinear dynamical systems.
    Brunton SL; Proctor JL; Kutz JN
    Proc Natl Acad Sci U S A; 2016 Apr; 113(15):3932-7. PubMed ID: 27035946
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Enhancing model identification with SINDy via nullcline reconstruction.
    Prokop B; Frolov N; Gelens L
    Chaos; 2024 Jun; 34(6):. PubMed ID: 38885073
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An improved sparse identification of nonlinear dynamics with Akaike information criterion and group sparsity.
    Dong X; Bai YL; Lu Y; Fan M
    Nonlinear Dyn; 2023; 111(2):1485-1510. PubMed ID: 36246669
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Reactive SINDy: Discovering governing reactions from concentration data.
    Hoffmann M; Fröhner C; Noé F
    J Chem Phys; 2019 Jan; 150(2):025101. PubMed ID: 30646700
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Learning chaotic systems from noisy data via multi-step optimization and adaptive training.
    Zhang L; Tang S; He G
    Chaos; 2022 Dec; 32(12):123134. PubMed ID: 36587345
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Sparse identification of nonlinear dynamics for rapid model recovery.
    Quade M; Abel M; Nathan Kutz J; Brunton SL
    Chaos; 2018 Jun; 28(6):063116. PubMed ID: 29960401
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.