BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

320 related articles for article (PubMed ID: 20691037)

  • 1. Global parameter estimation methods for stochastic biochemical systems.
    Poovathingal SK; Gunawan R
    BMC Bioinformatics; 2010 Aug; 11():414. PubMed ID: 20691037
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Accelerated maximum likelihood parameter estimation for stochastic biochemical systems.
    Daigle BJ; Roh MK; Petzold LR; Niemi J
    BMC Bioinformatics; 2012 May; 13():68. PubMed ID: 22548918
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. A data-integrated method for analyzing stochastic biochemical networks.
    Chevalier MW; El-Samad H
    J Chem Phys; 2011 Dec; 135(21):214110. PubMed ID: 22149782
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Global Optimization Approach for Parameter Estimation in Stochastic Dynamic Models of Biosystems.
    Sequeiros C; Otero-Muras I; Vazquez C; Banga JR
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(3):1971-1982. PubMed ID: 36449576
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparison of approaches for parameter estimation on stochastic models: Generic least squares versus specialized approaches.
    Zimmer C; Sahle S
    Comput Biol Chem; 2016 Apr; 61():75-85. PubMed ID: 26826353
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Stochastic parameter search for events.
    Roh MK; Eckhoff P
    BMC Syst Biol; 2014 Nov; 8():126. PubMed ID: 25380984
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Reliable and efficient parameter estimation using approximate continuum limit descriptions of stochastic models.
    Simpson MJ; Baker RE; Buenzli PR; Nicholson R; Maclaren OJ
    J Theor Biol; 2022 Sep; 549():111201. PubMed ID: 35752285
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comparison of Parameter Estimation Methods in Stochastic Chemical Kinetic Models: Examples in Systems Biology.
    Gupta A; Rawlings JB
    AIChE J; 2014 Apr; 60(4):1253-1268. PubMed ID: 27429455
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Parametric and nonparametric population methods: their comparative performance in analysing a clinical dataset and two Monte Carlo simulation studies.
    Bustad A; Terziivanov D; Leary R; Port R; Schumitzky A; Jelliffe R
    Clin Pharmacokinet; 2006; 45(4):365-83. PubMed ID: 16584284
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identifiability analysis for stochastic differential equation models in systems biology.
    Browning AP; Warne DJ; Burrage K; Baker RE; Simpson MJ
    J R Soc Interface; 2020 Dec; 17(173):20200652. PubMed ID: 33323054
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Effective implicit finite-difference method for sensitivity analysis of stiff stochastic discrete biochemical systems.
    Morshed M; Ingalls B; Ilie S
    IET Syst Biol; 2018 Aug; 12(4):123-130. PubMed ID: 33451187
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Random Finite Set Based Parameter Estimation Algorithm for Identifying Stochastic Systems.
    Wang P; Li G; Peng Y; Ju R
    Entropy (Basel); 2018 Jul; 20(8):. PubMed ID: 33265657
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A method for estimation of elasticities in metabolic networks using steady state and dynamic metabolomics data and linlog kinetics.
    Nikerel IE; van Winden WA; van Gulik WM; Heijnen JJ
    BMC Bioinformatics; 2006 Dec; 7():540. PubMed ID: 17184531
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Parametric sensitivity analysis for biochemical reaction networks based on pathwise information theory.
    Pantazis Y; Katsoulakis MA; Vlachos DG
    BMC Bioinformatics; 2013 Oct; 14():311. PubMed ID: 24148216
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Efficient parametric analysis of the chemical master equation through model order reduction.
    Waldherr S; Haasdonk B
    BMC Syst Biol; 2012 Jul; 6():81. PubMed ID: 22748204
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Advanced methods for gene network identification and noise decomposition from single-cell data.
    Fang Z; Gupta A; Kumar S; Khammash M
    Nat Commun; 2024 Jun; 15(1):4911. PubMed ID: 38851792
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Sensitivity, robustness, and identifiability in stochastic chemical kinetics models.
    Komorowski M; Costa MJ; Rand DA; Stumpf MP
    Proc Natl Acad Sci U S A; 2011 May; 108(21):8645-50. PubMed ID: 21551095
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Exact solving and sensitivity analysis of stochastic continuous time Boolean models.
    Koltai M; Noel V; Zinovyev A; Calzone L; Barillot E
    BMC Bioinformatics; 2020 Jun; 21(1):241. PubMed ID: 32527218
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 16.