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 *

193 related articles for article (PubMed ID: 37773942)

  • 1. Profile-Wise Analysis: A profile likelihood-based workflow for identifiability analysis, estimation, and prediction with mechanistic mathematical models.
    Simpson MJ; Maclaren OJ
    PLoS Comput Biol; 2023 Sep; 19(9):e1011515. PubMed ID: 37773942
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Making Predictions Using Poorly Identified Mathematical Models.
    Simpson MJ; Maclaren OJ
    Bull Math Biol; 2024 May; 86(7):80. PubMed ID: 38801489
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Implementing measurement error models with mechanistic mathematical models in a likelihood-based framework for estimation, identifiability analysis and prediction in the life sciences.
    Murphy RJ; Maclaren OJ; Simpson MJ
    J R Soc Interface; 2024 Jan; 21(210):20230402. PubMed ID: 38290560
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Profile likelihood-based parameter and predictive interval analysis guides model choice for ecological population dynamics.
    Simpson MJ; Walker SA; Studerus EN; McCue SW; Murphy RJ; Maclaren OJ
    Math Biosci; 2023 Jan; 355():108950. PubMed ID: 36463960
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identifiability analysis for stochastic differential equation models in systems biology.
    Browning AP; Warne DJ; Burrage K; Baker RE; Simpson MJ
    J R Soc Interface; 2020 Dec; 17(173):20200652. PubMed ID: 33323054
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Reliable and efficient parameter estimation using approximate continuum limit descriptions of stochastic models.
    Simpson MJ; Baker RE; Buenzli PR; Nicholson R; Maclaren OJ
    J Theor Biol; 2022 Sep; 549():111201. PubMed ID: 35752285
    [TBL] [Abstract][Full Text] [Related]  

  • 7. ASAS-NANP symposium: Mathematical Modeling in Animal Nutrition: The power of identifiability analysis for dynamic modeling in animal science:a practitioner approach.
    Muñoz-Tamayo R; Tedeschi LO
    J Anim Sci; 2023 Jan; 101():. PubMed ID: 37997927
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Calculating all multiple parameter solutions of ODE models to avoid biological misinterpretations.
    Saccomani MP; Thomaseth K
    Math Biosci Eng; 2019 Jul; 16(6):6438-6453. PubMed ID: 31698571
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Review: To be or not to be an identifiable model. Is this a relevant question in animal science modelling?
    Muñoz-Tamayo R; Puillet L; Daniel JB; Sauvant D; Martin O; Taghipoor M; Blavy P
    Animal; 2018 Apr; 12(4):701-712. PubMed ID: 29096725
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A confidence building exercise in data and identifiability: Modeling cancer chemotherapy as a case study.
    Eisenberg MC; Jain HV
    J Theor Biol; 2017 Oct; 431():63-78. PubMed ID: 28733187
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Modelling count data with partial differential equation models in biology.
    Simpson MJ; Murphy RJ; Maclaren OJ
    J Theor Biol; 2024 Mar; 580():111732. PubMed ID: 38218530
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Rational selection of experimental readout and intervention sites for reducing uncertainties in computational model predictions.
    Flassig RJ; Migal I; der Zalm Ev; Rihko-Struckmann L; Sundmacher K
    BMC Bioinformatics; 2015 Jan; 16():13. PubMed ID: 25592474
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Structural identifiability analysis of age-structured PDE epidemic models.
    Renardy M; Kirschner D; Eisenberg M
    J Math Biol; 2022 Jan; 84(1-2):9. PubMed ID: 34982260
    [TBL] [Abstract][Full Text] [Related]  

  • 15. GAMES: A Dynamic Model Development Workflow for Rigorous Characterization of Synthetic Genetic Systems.
    Dray KE; Muldoon JJ; Mangan NM; Bagheri N; Leonard JN
    ACS Synth Biol; 2022 Feb; 11(2):1009-1029. PubMed ID: 35023730
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Parameter identifiability and model selection for sigmoid population growth models.
    Simpson MJ; Browning AP; Warne DJ; Maclaren OJ; Baker RE
    J Theor Biol; 2022 Feb; 535():110998. PubMed ID: 34973274
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Likelihood based observability analysis and confidence intervals for predictions of dynamic models.
    Kreutz C; Raue A; Timmer J
    BMC Syst Biol; 2012 Sep; 6():120. PubMed ID: 22947028
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Parameter Identifiability in PDE Models of Fluorescence Recovery After Photobleaching.
    Ciocanel MV; Ding L; Mastromatteo L; Reichheld S; Cabral S; Mowry K; Sandstede B
    Bull Math Biol; 2024 Mar; 86(4):36. PubMed ID: 38430382
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identifiability analysis for models of the translation kinetics after mRNA transfection.
    Pieschner S; Hasenauer J; Fuchs C
    J Math Biol; 2022 May; 84(7):56. PubMed ID: 35577967
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.