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 *

93 related articles for article (PubMed ID: 17165836)

  • 1. Extraction of parameters and their error distributions from cyclic voltammograms using bootstrap resampling enhanced by solution maps: Computational study.
    Bieniasz LK; Rabitz H
    Anal Chem; 2006 Dec; 78(24):8430-7. PubMed ID: 17165836
    [TBL] [Abstract][Full Text] [Related]  

  • 2. High-dimensional model representation of cyclic voltammograms.
    Bieniasz LK; Rabitz H
    Anal Chem; 2006 Mar; 78(6):1807-16. PubMed ID: 16536415
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparison of bootstrap approaches for estimation of uncertainties of DTI parameters.
    Chung S; Lu Y; Henry RG
    Neuroimage; 2006 Nov; 33(2):531-41. PubMed ID: 16938472
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Voltammetry based on fractional diffusion.
    Mirceski V; Tomovski Z
    J Phys Chem B; 2009 Mar; 113(9):2794-9. PubMed ID: 19243202
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An optimized wild bootstrap method for evaluation of measurement uncertainties of DTI-derived parameters in human brain.
    Zhu T; Liu X; Connelly PR; Zhong J
    Neuroimage; 2008 Apr; 40(3):1144-56. PubMed ID: 18302985
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Bootstrap estimation of benchmark doses and confidence limits with clustered quantal data.
    Zhu Y; Wang T; Jelsovsky JZ
    Risk Anal; 2007 Apr; 27(2):447-65. PubMed ID: 17511711
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Simulations of cyclic voltammetric and chronoamperometric electrode responses at a disk electrode using combinations of spherical and cylindrical electrode geometries.
    Mahon PJ; Feldberg SW
    Langmuir; 2007 Sep; 23(20):10380-8. PubMed ID: 17725370
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Combination of computer simulations and experimental measurements as the training dataset for statistical estimation of epicardial activation maps from venous catheter recordings.
    Cunedioğlu U; Yilmaz B
    IEEE Trans Biomed Eng; 2009 Mar; 56(3):837-45. PubMed ID: 19272905
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Nanopipet voltammetry of common ions across the liquid-liquid interface. Theory and limitations in kinetic analysis of nanoelectrode voltammograms.
    Rodgers PJ; Amemiya S; Wang Y; Mirkin MV
    Anal Chem; 2010 Jan; 82(1):84-90. PubMed ID: 20000448
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Adapting prediction error estimates for biased complexity selection in high-dimensional bootstrap samples.
    Binder H; Schumacher M
    Stat Appl Genet Mol Biol; 2008; 7(1):Article12. PubMed ID: 18384265
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Extraction of electrode kinetic parameters from microdisc voltammetric data measured under transport conditions intermediate between steady-state convergent and transient linear diffusion as typically applies to room temperature ionic liquids.
    Barnes AS; Rogers EI; Streeter I; Aldous L; Hardacre C; Compton RG
    J Phys Chem B; 2008 Jun; 112(25):7560-5. PubMed ID: 18507454
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Enhanced parameter estimation methods for noisy SPECT data.
    Wen L; Eberl S; Choi HC; Feng DD; Fulham M
    Comput Methods Programs Biomed; 2008 Feb; 89(2):102-11. PubMed ID: 17502121
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An efficient approach to automate the manual trial and error calibration of activated sludge models.
    Sin G; De Pauw DJ; Weijers S; Vanrolleghem PA
    Biotechnol Bioeng; 2008 Jun; 100(3):516-28. PubMed ID: 18098316
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Internal validation of risk models in clustered data: a comparison of bootstrap schemes.
    Bouwmeester W; Moons KG; Kappen TH; van Klei WA; Twisk JW; Eijkemans MJ; Vergouwe Y
    Am J Epidemiol; 2013 Jun; 177(11):1209-17. PubMed ID: 23660796
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate data.
    Druckmann S; Berger TK; Hill S; Schürmann F; Markram H; Segev I
    Biol Cybern; 2008 Nov; 99(4-5):371-9. PubMed ID: 19011925
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Bootstrap model selection had similar performance for selecting authentic and noise variables compared to backward variable elimination: a simulation study.
    Austin PC
    J Clin Epidemiol; 2008 Oct; 61(10):1009-17.e1. PubMed ID: 18539429
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Linear parameter estimation of rational biokinetic functions.
    Doeswijk TG; Keesman KJ
    Water Res; 2009 Jan; 43(1):107-16. PubMed ID: 19004464
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Curve-fitting overlapped bands: quantification and improvement of curve-fitting robustness in the presence of errors in the model and in the data.
    Lórenz-Fonfría VA; Padrós E
    Analyst; 2004 Dec; 129(12):1243-50. PubMed ID: 15565226
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Multiwavelength anomalous diffraction of sulfite reductase hemoprotein: making the most of MAD data.
    Crane BR; Bellamy H; Getzoff ED
    Acta Crystallogr D Biol Crystallogr; 1997 Jan; 53(Pt 1):8-22. PubMed ID: 15299968
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction of enzyme kinetic parameters based on statistical learning.
    Borger S; Liebermeister W; Klipp E
    Genome Inform; 2006; 17(1):80-7. PubMed ID: 17503358
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.