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 *

80 related articles for article (PubMed ID: 32176768)

  • 1. Estimating chain length for time delays in dynamical systems using profile likelihood.
    Hauber AL; Engesser R; Vanlier J; Timmer J
    Bioinformatics; 2020 Mar; 36(6):1848-1854. PubMed ID: 32176768
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Data2Dynamics: a modeling environment tailored to parameter estimation in dynamical systems.
    Raue A; Steiert B; Schelker M; Kreutz C; Maiwald T; Hass H; Vanlier J; Tönsing C; Adlung L; Engesser R; Mader W; Heinemann T; Hasenauer J; Schilling M; Höfer T; Klipp E; Theis F; Klingmüller U; Schöberl B; Timmer J
    Bioinformatics; 2015 Nov; 31(21):3558-60. PubMed ID: 26142188
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An easy and efficient approach for testing identifiability.
    Kreutz C
    Bioinformatics; 2018 Jun; 34(11):1913-1921. PubMed ID: 29365095
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Fast integration-based prediction bands for ordinary differential equation models.
    Hass H; Kreutz C; Timmer J; Kaschek D
    Bioinformatics; 2016 Apr; 32(8):1204-10. PubMed ID: 26685309
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Optimal design of stimulus experiments for robust discrimination of biochemical reaction networks.
    Flassig RJ; Sundmacher K
    Bioinformatics; 2012 Dec; 28(23):3089-96. PubMed ID: 23047554
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihood.
    Raue A; Kreutz C; Maiwald T; Bachmann J; Schilling M; Klingmüller U; Timmer J
    Bioinformatics; 2009 Aug; 25(15):1923-9. PubMed ID: 19505944
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Bayesian inference of distributed time delay in transcriptional and translational regulation.
    Choi B; Cheng YY; Cinar S; Ott W; Bennett MR; Josić K; Kim JK
    Bioinformatics; 2020 Jan; 36(2):586-593. PubMed ID: 31347688
    [TBL] [Abstract][Full Text] [Related]  

  • 8. High-dimensional Bayesian parameter estimation: case study for a model of JAK2/STAT5 signaling.
    Hug S; Raue A; Hasenauer J; Bachmann J; Klingmüller U; Timmer J; Theis FJ
    Math Biosci; 2013 Dec; 246(2):293-304. PubMed ID: 23602931
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Hierarchical Bayesian models of transcriptional and translational regulation processes with delays.
    Cortez MJ; Hong H; Choi B; Kim JK; Josić K
    Bioinformatics; 2021 Dec; 38(1):187-195. PubMed ID: 34450624
    [TBL] [Abstract][Full Text] [Related]  

  • 10. GenSSI 2.0: multi-experiment structural identifiability analysis of SBML models.
    Ligon TS; Fröhlich F; Chis OT; Banga JR; Balsa-Canto E; Hasenauer J
    Bioinformatics; 2018 Apr; 34(8):1421-1423. PubMed ID: 29206901
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Comprehensive estimation of input signals and dynamics in biochemical reaction networks.
    Schelker M; Raue A; Timmer J; Kreutz C
    Bioinformatics; 2012 Sep; 28(18):i529-i534. PubMed ID: 22962477
    [TBL] [Abstract][Full Text] [Related]  

  • 12. L1 regularization facilitates detection of cell type-specific parameters in dynamical systems.
    Steiert B; Timmer J; Kreutz C
    Bioinformatics; 2016 Sep; 32(17):i718-i726. PubMed ID: 27587694
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Filtering and inference for stochastic oscillators with distributed delays.
    Calderazzo S; Brancaccio M; Finkenstädt B
    Bioinformatics; 2019 Apr; 35(8):1380-1387. PubMed ID: 30202930
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Reversible jump MCMC for multi-model inference in Metabolic Flux Analysis.
    Theorell A; Nöh K
    Bioinformatics; 2020 Jan; 36(1):232-240. PubMed ID: 31214716
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Trajectory-oriented Bayesian experiment design versus Fisher A-optimal design: an in depth comparison study.
    Weber P; Kramer A; Dingler C; Radde N
    Bioinformatics; 2012 Sep; 28(18):i535-i541. PubMed ID: 22962478
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Bayesian metabolic flux analysis reveals intracellular flux couplings.
    Heinonen M; Osmala M; Mannerström H; Wallenius J; Kaski S; Rousu J; Lähdesmäki H
    Bioinformatics; 2019 Jul; 35(14):i548-i557. PubMed ID: 31510676
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Maximum profile likelihood estimation of differential equation parameters through model based smoothing state estimates.
    Campbell DA; Chkrebtii O
    Math Biosci; 2013 Dec; 246(2):283-92. PubMed ID: 23579098
    [TBL] [Abstract][Full Text] [Related]  

  • 18. CLUE: exact maximal reduction of kinetic models by constrained lumping of differential equations.
    Ovchinnikov A; Pérez Verona I; Pogudin G; Tribastone M
    Bioinformatics; 2021 Jul; 37(12):1732-1738. PubMed ID: 33532849
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Uncertainty quantification, propagation and characterization by Bayesian analysis combined with global sensitivity analysis applied to dynamical intracellular pathway models.
    Eriksson O; Jauhiainen A; Maad Sasane S; Kramer A; Nair AG; Sartorius C; Hellgren Kotaleski J
    Bioinformatics; 2019 Jan; 35(2):284-292. PubMed ID: 30010712
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identifiability and experimental design in perturbation studies.
    Gross T; Blüthgen N
    Bioinformatics; 2020 Jul; 36(Suppl_1):i482-i489. PubMed ID: 32657359
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 4.