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 *

171 related articles for article (PubMed ID: 15342560)

  • 1. A benchmark for methods in reverse engineering and model discrimination: problem formulation and solutions.
    Kremling A; Fischer S; Gadkar K; Doyle FJ; Sauter T; Bullinger E; Allgöwer F; Gilles ED
    Genome Res; 2004 Sep; 14(9):1773-85. PubMed ID: 15342560
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Non-linear optimization of biochemical pathways: applications to metabolic engineering and parameter estimation.
    Mendes P; Kell D
    Bioinformatics; 1998; 14(10):869-83. PubMed ID: 9927716
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Robust optimal design of experiments for model discrimination using an interactive software tool.
    Stegmaier J; Skanda D; Lebiedz D
    PLoS One; 2013; 8(2):e55723. PubMed ID: 23390549
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Parameter estimation in biochemical pathways: a comparison of global optimization methods.
    Moles CG; Mendes P; Banga JR
    Genome Res; 2003 Nov; 13(11):2467-74. PubMed ID: 14559783
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Examples of testing global identifiability of biological and biomedical models with the DAISY software.
    Saccomani MP; Audoly S; Bellu G; D'Angiò L
    Comput Biol Med; 2010 Apr; 40(4):402-7. PubMed ID: 20185123
    [TBL] [Abstract][Full Text] [Related]  

  • 6. DAISY: a new software tool to test global identifiability of biological and physiological systems.
    Bellu G; Saccomani MP; Audoly S; D'Angiò L
    Comput Methods Programs Biomed; 2007 Oct; 88(1):52-61. PubMed ID: 17707944
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Optimal design of stimulus experiments for robust discrimination of biochemical reaction networks.
    Flassig RJ; Sundmacher K
    Bioinformatics; 2012 Dec; 28(23):3089-96. PubMed ID: 23047554
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Optimal in silico target gene deletion through nonlinear programming for genetic engineering.
    Hong CC; Song M
    PLoS One; 2010 Feb; 5(2):e9331. PubMed ID: 20195367
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Reverse engineering genetic networks using nonlinear saturation kinetics.
    Kizhakkethil Youseph AS; Chetty M; Karmakar G
    Biosystems; 2019 Aug; 182():30-41. PubMed ID: 31185246
    [TBL] [Abstract][Full Text] [Related]  

  • 10. OKVAR-Boost: a novel boosting algorithm to infer nonlinear dynamics and interactions in gene regulatory networks.
    Lim N; Senbabaoglu Y; Michailidis G; d'Alché-Buc F
    Bioinformatics; 2013 Jun; 29(11):1416-23. PubMed ID: 23574736
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Importance of input perturbations and stochastic gene expression in the reverse engineering of genetic regulatory networks: insights from an identifiability analysis of an in silico network.
    Zak DE; Gonye GE; Schwaber JS; Doyle FJ
    Genome Res; 2003 Nov; 13(11):2396-405. PubMed ID: 14597654
    [TBL] [Abstract][Full Text] [Related]  

  • 12. libSRES: a C library for stochastic ranking evolution strategy for parameter estimation.
    Ji X; Xu Y
    Bioinformatics; 2006 Jan; 22(1):124-6. PubMed ID: 16267082
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. Biochemical systems identification by a random drift particle swarm optimization approach.
    Sun J; Palade V; Cai Y; Fang W; Wu X
    BMC Bioinformatics; 2014; 15 Suppl 6(Suppl 6):S1. PubMed ID: 25078435
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An intelligent two-stage evolutionary algorithm for dynamic pathway identification from gene expression profiles.
    Ho SY; Hsieh CH; Yu FC; Huang HL
    IEEE/ACM Trans Comput Biol Bioinform; 2007; 4(4):648-704. PubMed ID: 17975275
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. A gene network simulator to assess reverse engineering algorithms.
    Di Camillo B; Toffolo G; Cobelli C
    Ann N Y Acad Sci; 2009 Mar; 1158():125-42. PubMed ID: 19348638
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An integer optimization algorithm for robust identification of non-linear gene regulatory networks.
    Chemmangattuvalappil N; Task K; Banerjee I
    BMC Syst Biol; 2012 Sep; 6():119. PubMed ID: 22937832
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An effective automatic procedure for testing parameter identifiability of HIV/AIDS models.
    Saccomani MP
    Bull Math Biol; 2011 Aug; 73(8):1734-53. PubMed ID: 20953911
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.