BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

140 related articles for article (PubMed ID: 38177246)

  • 1. Extrapolating tipping points and simulating non-stationary dynamics of complex systems using efficient machine learning.
    Köglmayr D; Räth C
    Sci Rep; 2024 Jan; 14(1):507. PubMed ID: 38177246
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Using machine learning to anticipate tipping points and extrapolate to post-tipping dynamics of non-stationary dynamical systems.
    Patel D; Ott E
    Chaos; 2023 Feb; 33(2):023143. PubMed ID: 36859201
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Adaptable reservoir computing: A paradigm for model-free data-driven prediction of critical transitions in nonlinear dynamical systems.
    Panahi S; Lai YC
    Chaos; 2024 May; 34(5):. PubMed ID: 38717410
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Deep learning for early warning signals of tipping points.
    Bury TM; Sujith RI; Pavithran I; Scheffer M; Lenton TM; Anand M; Bauch CT
    Proc Natl Acad Sci U S A; 2021 Sep; 118(39):. PubMed ID: 34544867
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Reservoir computing as digital twins for nonlinear dynamical systems.
    Kong LW; Weng Y; Glaz B; Haile M; Lai YC
    Chaos; 2023 Mar; 33(3):033111. PubMed ID: 37003826
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Tipping points of evolving epidemiological networks: Machine learning-assisted, data-driven effective modeling.
    Evangelou N; Cui T; Bello-Rivas JM; Makeev A; Kevrekidis IG
    Chaos; 2024 Jun; 34(6):. PubMed ID: 38865091
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Learning Hamiltonian dynamics with reservoir computing.
    Zhang H; Fan H; Wang L; Wang X
    Phys Rev E; 2021 Aug; 104(2-1):024205. PubMed ID: 34525517
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Using machine learning to predict statistical properties of non-stationary dynamical processes: System climate,regime transitions, and the effect of stochasticity.
    Patel D; Canaday D; Girvan M; Pomerance A; Ott E
    Chaos; 2021 Mar; 31(3):033149. PubMed ID: 33810745
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Learning unseen coexisting attractors.
    Gauthier DJ; Fischer I; Röhm A
    Chaos; 2022 Nov; 32(11):113107. PubMed ID: 36456323
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Tipping Point Detection Using Reservoir Computing.
    Li X; Zhu Q; Zhao C; Qian X; Zhang X; Duan X; Lin W
    Research (Wash D C); 2023; 6():0174. PubMed ID: 37404384
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A systematic exploration of reservoir computing for forecasting complex spatiotemporal dynamics.
    Platt JA; Penny SG; Smith TA; Chen TC; Abarbanel HDI
    Neural Netw; 2022 Sep; 153():530-552. PubMed ID: 35839598
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Global analysis and prediction scenario of infectious outbreaks by recurrent dynamic model and machine learning models: A case study on COVID-19.
    Rakhshan SA; Nejad MS; Zaj M; Ghane FH
    Comput Biol Med; 2023 May; 158():106817. PubMed ID: 36989749
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Tipping in complex systems under fast variations of parameters.
    Pavithran I; Midhun PR; Sujith RI
    Chaos; 2023 Aug; 33(8):. PubMed ID: 38060796
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predicting amplitude death with machine learning.
    Xiao R; Kong LW; Sun ZK; Lai YC
    Phys Rev E; 2021 Jul; 104(1-1):014205. PubMed ID: 34412238
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Reservoir Computing Beyond Memory-Nonlinearity Trade-off.
    Inubushi M; Yoshimura K
    Sci Rep; 2017 Aug; 7(1):10199. PubMed ID: 28860513
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Detecting the tipping points in a three-state model of complex diseases by temporal differential networks.
    Chen P; Li Y; Liu X; Liu R; Chen L
    J Transl Med; 2017 Oct; 15(1):217. PubMed ID: 29073904
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Predicting tipping points in mutualistic networks through dimension reduction.
    Jiang J; Huang ZG; Seager TP; Lin W; Grebogi C; Hastings A; Lai YC
    Proc Natl Acad Sci U S A; 2018 Jan; 115(4):E639-E647. PubMed ID: 29311325
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Learning spatiotemporal chaos using next-generation reservoir computing.
    Barbosa WAS; Gauthier DJ
    Chaos; 2022 Sep; 32(9):093137. PubMed ID: 36182396
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Universal early warning signals of phase transitions in climate systems.
    Dylewsky D; Lenton TM; Scheffer M; Bury TM; Fletcher CG; Anand M; Bauch CT
    J R Soc Interface; 2023 Apr; 20(201):20220562. PubMed ID: 37015262
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Next generation reservoir computing.
    Gauthier DJ; Bollt E; Griffith A; Barbosa WAS
    Nat Commun; 2021 Sep; 12(1):5564. PubMed ID: 34548491
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.