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 *

279 related articles for article (PubMed ID: 17081289)

  • 21. Parameter estimation in models of biological oscillators: an automated regularised estimation approach.
    Pitt JA; Banga JR
    BMC Bioinformatics; 2019 Feb; 20(1):82. PubMed ID: 30770736
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. Parameter estimation with bio-inspired meta-heuristic optimization: modeling the dynamics of endocytosis.
    Tashkova K; Korošec P; Silc J; Todorovski L; Džeroski S
    BMC Syst Biol; 2011 Oct; 5():159. PubMed ID: 21989196
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Hybrid deterministic/stochastic simulation of complex biochemical systems.
    Lecca P; Bagagiolo F; Scarpa M
    Mol Biosyst; 2017 Nov; 13(12):2672-2686. PubMed ID: 29058744
    [TBL] [Abstract][Full Text] [Related]  

  • 25. A novel metaheuristic algorithm inspired by COVID-19 for real-parameter optimization.
    Kadkhoda Mohammadi S; Nazarpour D; Beiraghi M
    Neural Comput Appl; 2023; 35(14):10147-10196. PubMed ID: 37155551
    [TBL] [Abstract][Full Text] [Related]  

  • 26. 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]  

  • 27. ConvAn: a convergence analyzing tool for optimization of biochemical networks.
    Kostromins A; Mozga I; Stalidzans E
    Biosystems; 2012; 108(1-3):73-7. PubMed ID: 22212352
    [TBL] [Abstract][Full Text] [Related]  

  • 28. An improved hybrid of particle swarm optimization and the gravitational search algorithm to produce a kinetic parameter estimation of aspartate biochemical pathways.
    Ismail AM; Mohamad MS; Abdul Majid H; Abas KH; Deris S; Zaki N; Mohd Hashim SZ; Ibrahim Z; Remli MA
    Biosystems; 2017 Dec; 162():81-89. PubMed ID: 28951204
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A methodology for performing global uncertainty and sensitivity analysis in systems biology.
    Marino S; Hogue IB; Ray CJ; Kirschner DE
    J Theor Biol; 2008 Sep; 254(1):178-96. PubMed ID: 18572196
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Parameter inference for discretely observed stochastic kinetic models using stochastic gradient descent.
    Wang Y; Christley S; Mjolsness E; Xie X
    BMC Syst Biol; 2010 Jul; 4():99. PubMed ID: 20663171
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Tailored parameter optimization methods for ordinary differential equation models with steady-state constraints.
    Fiedler A; Raeth S; Theis FJ; Hausser A; Hasenauer J
    BMC Syst Biol; 2016 Aug; 10(1):80. PubMed ID: 27549154
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Hierarchical cluster-based partial least squares regression (HC-PLSR) is an efficient tool for metamodelling of nonlinear dynamic models.
    Tøndel K; Indahl UG; Gjuvsland AB; Vik JO; Hunter P; Omholt SW; Martens H
    BMC Syst Biol; 2011 Jun; 5():90. PubMed ID: 21627852
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Brute force meets Bruno force in parameter optimisation: introduction of novel constraints for parameter accuracy improvement by symbolic computation.
    Nakatsui M; Horimoto K; Lemaire F; Ürgüplü A; Sedoglavic A; Boulier F
    IET Syst Biol; 2011 Sep; 5(5):281-92. PubMed ID: 22010755
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Parameter estimation in systems biology models using spline approximation.
    Zhan C; Yeung LF
    BMC Syst Biol; 2011 Jan; 5():14. PubMed ID: 21255466
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Scalable nonlinear programming framework for parameter estimation in dynamic biological system models.
    Shin S; Venturelli OS; Zavala VM
    PLoS Comput Biol; 2019 Mar; 15(3):e1006828. PubMed ID: 30908479
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A new class of wavelet networks for nonlinear system identification.
    Billings SA; Wei HL
    IEEE Trans Neural Netw; 2005 Jul; 16(4):862-74. PubMed ID: 16121728
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Parameter optimization by using differential elimination: a general approach for introducing constraints into objective functions.
    Nakatsui M; Horimoto K; Okamoto M; Tokumoto Y; Miyake J
    BMC Syst Biol; 2010 Sep; 4 Suppl 2(Suppl 2):S9. PubMed ID: 20840736
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Identification of metabolic system parameters using global optimization methods.
    Polisetty PK; Voit EO; Gatzke EP
    Theor Biol Med Model; 2006 Jan; 3():4. PubMed ID: 16441881
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Realistic simulation of time-course measurements in systems biology.
    Egert J; Kreutz C
    Math Biosci Eng; 2023 Apr; 20(6):10570-10589. PubMed ID: 37322949
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A comparison of deterministic and stochastic approaches for sensitivity analysis in computational systems biology.
    Simoni G; Vo HT; Priami C; Marchetti L
    Brief Bioinform; 2020 Mar; 21(2):527-540. PubMed ID: 30753281
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 14.