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 *

158 related articles for article (PubMed ID: 36888634)

  • 1. Sloppiness: Fundamental study, new formalism and its application in model assessment.
    Jagadeesan P; Raman K; Tangirala AK
    PLoS One; 2023; 18(3):e0282609. PubMed ID: 36888634
    [TBL] [Abstract][Full Text] [Related]  

  • 2. On the relationship between sloppiness and identifiability.
    Chis OT; Villaverde AF; Banga JR; Balsa-Canto E
    Math Biosci; 2016 Dec; 282():147-161. PubMed ID: 27789352
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Delineating parameter unidentifiabilities in complex models.
    Raman DV; Anderson J; Papachristodoulou A
    Phys Rev E; 2017 Mar; 95(3-1):032314. PubMed ID: 28415348
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Universally sloppy parameter sensitivities in systems biology models.
    Gutenkunst RN; Waterfall JJ; Casey FP; Brown KS; Myers CR; Sethna JP
    PLoS Comput Biol; 2007 Oct; 3(10):1871-78. PubMed ID: 17922568
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Cause and cure of sloppiness in ordinary differential equation models.
    Tönsing C; Timmer J; Kreutz C
    Phys Rev E Stat Nonlin Soft Matter Phys; 2014 Aug; 90(2):023303. PubMed ID: 25215847
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Practical limits for reverse engineering of dynamical systems: a statistical analysis of sensitivity and parameter inferability in systems biology models.
    Erguler K; Stumpf MP
    Mol Biosyst; 2011 May; 7(5):1593-602. PubMed ID: 21380410
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
    Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
    Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Perspective: Sloppiness and emergent theories in physics, biology, and beyond.
    Transtrum MK; Machta BB; Brown KS; Daniels BC; Myers CR; Sethna JP
    J Chem Phys; 2015 Jul; 143(1):010901. PubMed ID: 26156455
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Assessing parameter identifiability in compartmental dynamic models using a computational approach: application to infectious disease transmission models.
    Roosa K; Chowell G
    Theor Biol Med Model; 2019 Jan; 16(1):1. PubMed ID: 30642334
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Macromolecular crowding: chemistry and physics meet biology (Ascona, Switzerland, 10-14 June 2012).
    Foffi G; Pastore A; Piazza F; Temussi PA
    Phys Biol; 2013 Aug; 10(4):040301. PubMed ID: 23912807
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Decoding complex biological networks - tracing essential and modulatory parameters in complex and simplified models of the cell cycle.
    Eriksson O; Andersson T; Zhou Y; Tegnér J
    BMC Syst Biol; 2011 Aug; 5():123. PubMed ID: 21819620
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identifiability Analysis of Three Control-Oriented Models for Use in Artificial Pancreas Systems.
    Garcia-Tirado J; Zuluaga-Bedoya C; Breton MD
    J Diabetes Sci Technol; 2018 Sep; 12(5):937-952. PubMed ID: 30095007
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Moment fitting for parameter inference in repeatedly and partially observed stochastic biological models.
    Kügler P
    PLoS One; 2012; 7(8):e43001. PubMed ID: 22900079
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. A simple method for identifying parameter correlations in partially observed linear dynamic models.
    Li P; Vu QD
    BMC Syst Biol; 2015 Dec; 9():92. PubMed ID: 26666642
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Communicating oscillatory networks: frequency domain analysis.
    Ihekwaba AE; Sedwards S
    BMC Syst Biol; 2011 Dec; 5():203. PubMed ID: 22192879
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Structural Identifiability of Dynamic Systems Biology Models.
    Villaverde AF; Barreiro A; Papachristodoulou A
    PLoS Comput Biol; 2016 Oct; 12(10):e1005153. PubMed ID: 27792726
    [TBL] [Abstract][Full Text] [Related]  

  • 20. On finding and using identifiable parameter combinations in nonlinear dynamic systems biology models and COMBOS: a novel web implementation.
    Meshkat N; Kuo CE; DiStefano J
    PLoS One; 2014; 9(10):e110261. PubMed ID: 25350289
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.