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 *

111 related articles for article (PubMed ID: 21989566)

  • 1. A global parallel model based design of experiments method to minimize model output uncertainty.
    Bazil JN; Buzzard GT; Rundell AE
    Bull Math Biol; 2012 Mar; 74(3):688-716. PubMed ID: 21989566
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Experiment design through dynamical characterisation of non-linear systems biology models utilising sparse grids.
    Donahue MM; Buzzard GT; Rundell AE
    IET Syst Biol; 2010 Jul; 4(4):249-62. PubMed ID: 20632775
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Optimal experimental design with the sigma point method.
    Schenkendorf R; Kremling A; Mangold M
    IET Syst Biol; 2009 Jan; 3(1):10-23. PubMed ID: 19154081
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Efficient Optimization of Stimuli for Model-Based Design of Experiments to Resolve Dynamical Uncertainty.
    Mdluli T; Buzzard GT; Rundell AE
    PLoS Comput Biol; 2015 Sep; 11(9):e1004488. PubMed ID: 26379275
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Sparse-grid-based adaptive model predictive control of HL60 cellular differentiation.
    Noble SL; Wendel LE; Donahue MM; Buzzard GT; Rundell AE
    IEEE Trans Biomed Eng; 2012 Feb; 59(2):456-63. PubMed ID: 22057041
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Parameter identification, experimental design and model falsification for biological network models using semidefinite programming.
    Hasenauer J; Waldherr S; Wagner K; Allgöwer F
    IET Syst Biol; 2010 Mar; 4(2):119-30. PubMed ID: 20232992
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Optimal experiment design for cardinal values estimation: guidelines for data collection.
    Bernaerts K; Gysemans KP; Nhan Minh T; Van Impe JF
    Int J Food Microbiol; 2005 Apr; 100(1-3):153-65. PubMed ID: 15854701
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Simultaneous versus sequential optimal experiment design for the identification of multi-parameter microbial growth kinetics as a function of temperature.
    Van Derlinden E; Bernaerts K; Van Impe JF
    J Theor Biol; 2010 May; 264(2):347-55. PubMed ID: 20064532
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Computational procedures for optimal experimental design in biological systems.
    Balsa-Canto E; Alonso AA; Banga JR
    IET Syst Biol; 2008 Jul; 2(4):163-72. PubMed ID: 18681746
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A kernel-based method to determine optimal sampling times for the simultaneous estimation of the parameters of rival mathematical models.
    Donckels BM; De Pauw DJ; Vanrolleghem PA; De Baets B
    J Comput Chem; 2009 Oct; 30(13):2064-77. PubMed ID: 19165773
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Experimental design for parameter estimation through sensitivity analysis.
    Schlosser PM
    J Toxicol Environ Health; 1994 Dec; 43(4):495-530. PubMed ID: 7990173
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Addressing parameter identifiability by model-based experimentation.
    Raue A; Kreutz C; Maiwald T; Klingmuller U; Timmer J
    IET Syst Biol; 2011 Mar; 5(2):120-30. PubMed ID: 21405200
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Specifying informative experiment stimulation conditions for resolving dynamical uncertainty in biological systems.
    Mdluli T; Pargett M; Buzzard GT; Rundell AE
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():298-301. PubMed ID: 25569956
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Experimental design for dynamics identification of cellular processes.
    Dinh V; Rundell AE; Buzzard GT
    Bull Math Biol; 2014 Mar; 76(3):597-626. PubMed ID: 24522560
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Optimal sampling time selection for parameter estimation in dynamic pathway modeling.
    Kutalik Z; Cho KH; Wolkenhauer O
    Biosystems; 2004 Jul; 75(1-3):43-55. PubMed ID: 15245803
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Sequential optimal design of neurophysiology experiments.
    Lewi J; Butera R; Paninski L
    Neural Comput; 2009 Mar; 21(3):619-87. PubMed ID: 18928364
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Using highly efficient nonlinear experimental design methods for optimization of Lactococcus lactis fermentation in chemically defined media.
    Zhang G; Block DE
    Biotechnol Prog; 2009; 25(6):1587-97. PubMed ID: 19725126
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A hybrid approach for efficient and robust parameter estimation in biochemical pathways.
    Rodriguez-Fernandez M; Mendes P; Banga JR
    Biosystems; 2006; 83(2-3):248-65. PubMed ID: 16236429
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Parameter synthesis in nonlinear dynamical systems: application to systems biology.
    Donzé A; Clermont G; Langmead CJ
    J Comput Biol; 2010 Mar; 17(3):325-36. PubMed ID: 20377448
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Use of a generalized fisher equation for global optimization in chemical kinetics.
    Villaverde AF; Ross J; Morán F; Balsa-Canto E; Banga JR
    J Phys Chem A; 2011 Aug; 115(30):8426-36. PubMed ID: 21711023
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.