BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

153 related articles for article (PubMed ID: 22609467)

  • 21. 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]  

  • 22. Proper lumping in systems biology models.
    Dokoumetzidis A; Aarons L
    IET Syst Biol; 2009 Jan; 3(1):40-51. PubMed ID: 19154083
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. Structural identifiability analysis and reparameterisation (parameter reduction) of a cardiovascular feedback model.
    Cheung SY; Majid O; Yates JW; Aarons L
    Eur J Pharm Sci; 2012 Jul; 46(4):259-71. PubMed ID: 22343490
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Identifiability Results for Several Classes of Linear Compartment Models.
    Meshkat N; Sullivant S; Eisenberg M
    Bull Math Biol; 2015 Aug; 77(8):1620-51. PubMed ID: 26337290
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Determining minimal output sets that ensure structural identifiability.
    Joubert D; Stigter JD; Molenaar J
    PLoS One; 2018; 13(11):e0207334. PubMed ID: 30419074
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Practical identifiability of biokinetic parameters of a model describing two-step nitrification in biofilms.
    Brockmann D; Rosenwinkel KH; Morgenroth E
    Biotechnol Bioeng; 2008 Oct; 101(3):497-514. PubMed ID: 18512262
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Structural identifiability analysis of a cardiovascular system model.
    Pironet A; Dauby PC; Chase JG; Docherty PD; Revie JA; Desaive T
    Med Eng Phys; 2016 May; 38(5):433-41. PubMed ID: 26970891
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Determining identifiable parameter combinations using subset profiling.
    Eisenberg MC; Hayashi MA
    Math Biosci; 2014 Oct; 256():116-26. PubMed ID: 25173434
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. 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]  

  • 32. On linear models and parameter identifiability in experimental biological systems.
    Lamberton TO; Condon ND; Stow JL; Hamilton NA
    J Theor Biol; 2014 Oct; 358():102-21. PubMed ID: 24882792
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Evaluating the structural identifiability of the parameters of the EBPR sub-model in ASM2d by the differential algebra method.
    Zhang T; Zhang D; Li Z; Cai Q
    Water Res; 2010 May; 44(9):2815-22. PubMed ID: 20226493
    [TBL] [Abstract][Full Text] [Related]  

  • 34. 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]  

  • 35. Identifiability analysis in conceptual sewer modelling.
    Kleidorfer M; Leonhardt G; Rauch W
    Water Sci Technol; 2012; 66(7):1467-74. PubMed ID: 22864432
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Effective parameters determining the information flow in hierarchical biological systems.
    Blöchl F; Wittmann DM; Theis FJ
    Bull Math Biol; 2011 Apr; 73(4):706-25. PubMed ID: 21181504
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Insights into the behaviour of systems biology models from dynamic sensitivity and identifiability analysis: a case study of an NF-kappaB signalling pathway.
    Yue H; Brown M; Knowles J; Wang H; Broomhead DS; Kell DB
    Mol Biosyst; 2006 Dec; 2(12):640-9. PubMed ID: 17216045
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Structural identifiability of polynomial and rational systems.
    Nemcová J
    Math Biosci; 2010 Feb; 223(2):83-96. PubMed ID: 19913563
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Identifiability of large-scale non-linear dynamic network models applied to the ADM1-case study.
    Nimmegeers P; Lauwers J; Telen D; Logist F; Impe JV
    Math Biosci; 2017 Jun; 288():21-34. PubMed ID: 28237667
    [TBL] [Abstract][Full Text] [Related]  

  • 40. 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]  

    [Previous]   [Next]    [New Search]
    of 8.