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 *

136 related articles for article (PubMed ID: 33601611)

  • 1. Machine learning framework for computing the most probable paths of stochastic dynamical systems.
    Li Y; Duan J; Liu X
    Phys Rev E; 2021 Jan; 103(1-1):012124. PubMed ID: 33601611
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Most probable dynamics of stochastic dynamical systems with exponentially light jump fluctuations.
    Li Y; Duan J; Liu X; Zhang Y
    Chaos; 2020 Jun; 30(6):063142. PubMed ID: 32611085
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An optimal control method to compute the most likely transition path for stochastic dynamical systems with jumps.
    Wei W; Gao T; Chen X; Duan J
    Chaos; 2022 May; 32(5):051102. PubMed ID: 35649976
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Transition pathways for a class of high dimensional stochastic dynamical systems with Lévy noise.
    Hu J; Chen J
    Chaos; 2021 Jun; 31(6):063138. PubMed ID: 34241299
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Discovering transition phenomena from data of stochastic dynamical systems with Lévy noise.
    Lu Y; Duan J
    Chaos; 2020 Sep; 30(9):093110. PubMed ID: 33003930
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A data-driven approach for discovering the most probable transition pathway for a stochastic carbon cycle system.
    Chen J; Hu J; Wei W; Duan J
    Chaos; 2022 Nov; 32(11):113140. PubMed ID: 36456320
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Extracting stochastic governing laws by non-local Kramers-Moyal formulae.
    Lu Y; Li Y; Duan J
    Philos Trans A Math Phys Eng Sci; 2022 Aug; 380(2229):20210195. PubMed ID: 35719068
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An Onsager-Machlup approach to the most probable transition pathway for a genetic regulatory network.
    Hu J; Chen X; Duan J
    Chaos; 2022 Apr; 32(4):041103. PubMed ID: 35489871
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Optimal transition paths of stochastic chemical kinetic systems.
    Liu D
    J Chem Phys; 2006 Apr; 124(16):164104. PubMed ID: 16674126
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An end-to-end deep learning approach for extracting stochastic dynamical systems with α-stable Lévy noise.
    Fang C; Lu Y; Gao T; Duan J
    Chaos; 2022 Jun; 32(6):063112. PubMed ID: 35778145
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Computing probability density of the first passage time for state transition in stochastic dynamical systems driven by Brownian motions: A singular integral method.
    Sun X; Yang F; Sun T
    Chaos; 2024 Jan; 34(1):. PubMed ID: 38166172
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Detecting the maximum likelihood transition path from data of stochastic dynamical systems.
    Dai M; Gao T; Lu Y; Zheng Y; Duan J
    Chaos; 2020 Nov; 30(11):113124. PubMed ID: 33261328
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Most probable paths for active Ornstein-Uhlenbeck particles.
    Dutta S
    Phys Rev E; 2023 May; 107(5-1):054130. PubMed ID: 37329007
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Most probable path of an active Brownian particle.
    Yasuda K; Ishimoto K
    Phys Rev E; 2022 Dec; 106(6-1):064120. PubMed ID: 36671105
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Steering most probable escape paths by varying relative noise intensities.
    Dannenberg PH; Neu JC; Teitsworth SW
    Phys Rev Lett; 2014 Jul; 113(2):020601. PubMed ID: 25062157
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Self-consistent formulations for stochastic nonlinear neuronal dynamics.
    Stapmanns J; Kühn T; Dahmen D; Luu T; Honerkamp C; Helias M
    Phys Rev E; 2020 Apr; 101(4-1):042124. PubMed ID: 32422832
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The maximum likelihood climate change for global warming under the influence of greenhouse effect and Lévy noise.
    Zheng Y; Yang F; Duan J; Sun X; Fu L; Kurths J
    Chaos; 2020 Jan; 30(1):013132. PubMed ID: 32013462
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Real-time particle filtering and smoothing algorithms for detecting abrupt changes in neural ensemble spike activity.
    Hu S; Zhang Q; Wang J; Chen Z
    J Neurophysiol; 2018 Apr; 119(4):1394-1410. PubMed ID: 29357468
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Effects of Lévy noise on the Fitzhugh-Nagumo model: A perspective on the maximal likely trajectories.
    Cai R; He Z; Liu Y; Duan J; Kurths J; Li X
    J Theor Biol; 2019 Nov; 480():166-174. PubMed ID: 31419442
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Computing the optimal path in stochastic dynamical systems.
    Bauver M; Forgoston E; Billings L
    Chaos; 2016 Aug; 26(8):083101. PubMed ID: 27586597
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.