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: 22771062)

  • 1. New theory for distribution of minimum resolution in multi-component separations with noise/detection limits.
    Davis JM
    J Chromatogr A; 2012 Aug; 1251():1-9. PubMed ID: 22771062
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Computation of distribution of minimum resolution for log-normal distribution of chromatographic peak heights.
    Davis JM
    J Chromatogr A; 2011 Oct; 1218(43):7841-9. PubMed ID: 21939978
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Relationship between selectivity and average resolution in comprehensive two-dimensional separations with spectroscopic detection.
    Davis JM; Rutan SC; Carr PW
    J Chromatogr A; 2011 Aug; 1218(34):5819-28. PubMed ID: 21777917
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Effect of first-dimension undersampling on effective peak capacity in comprehensive two-dimensional separations.
    Davis JM; Stoll DR; Carr PW
    Anal Chem; 2008 Jan; 80(2):461-73. PubMed ID: 18076145
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Monte Carlo studies on the influence of focal spot size and intensity distribution on spatial resolution in magnification mammography.
    Koutalonis M; Delis H; Spyrou G; Costaridou L; Tzanakos G; Panayiotakis G
    Phys Med Biol; 2008 Mar; 53(5):1369-84. PubMed ID: 18296767
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Verification of statistical-overlap theory in micellar electrokinetic chromatography.
    Liu S; Davis JM
    Anal Bioanal Chem; 2005 Jun; 382(3):765-76. PubMed ID: 15714302
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Dependence of effective peak capacity in comprehensive two-dimensional separations on the distribution of peak capacity between the two dimensions.
    Davis JM; Stoll DR; Carr PW
    Anal Chem; 2008 Nov; 80(21):8122-34. PubMed ID: 18841937
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Dependence on effective saturation of numbers of singlet peaks in one- and two-dimensional separations.
    Davis JM
    Talanta; 2011 Jan; 83(4):1068-73. PubMed ID: 21215840
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Effective noise-suppressed and artifact-reduced reconstruction of SPECT data using a preconditioned alternating projection algorithm.
    Li S; Zhang J; Krol A; Schmidtlein CR; Vogelsang L; Shen L; Lipson E; Feiglin D; Xu Y
    Med Phys; 2015 Aug; 42(8):4872-87. PubMed ID: 26233214
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Dependence on saturation of average minimum resolution in two-dimensional statistical-overlap theory: peak overlap in saturated two-dimensional separations.
    Liu S; Davis JM
    J Chromatogr A; 2006 Sep; 1126(1-2):244-56. PubMed ID: 16782109
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Equivalent peak resolution: characterization of the extent of separation for two components based on their relative peak overlap.
    Dvořák M; Svobodová J; Dubský P; Riesová M; Vigh G; Gaš B
    Electrophoresis; 2015 Mar; 36(5):646-54. PubMed ID: 25503084
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Effective saturation: a more informative metric for comparing peak separation in one- and two-dimensional separations.
    Davis JM; Carr PW
    Anal Chem; 2009 Feb; 81(3):1198-207. PubMed ID: 19178343
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Monte Carlo simulations of clinical PET and SPECT scans: impact of the input data on the simulated images.
    Stute S; Carlier T; Cristina K; Noblet C; Martineau A; Hutton B; Barnden L; Buvat I
    Phys Med Biol; 2011 Oct; 56(19):6441-57. PubMed ID: 21934192
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Evaluation of peak overlap in migration-time distributions determined by organelle capillary electrophoresis: Type-II error analogy based on statistical-overlap theory.
    Davis JM; Arriaga EA
    J Chromatogr A; 2009 Aug; 1216(35):6335-42. PubMed ID: 19632681
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prediction by statistical overlap theory of fraction of baseline occupied by chromatographic peaks.
    Davis JM
    J Chromatogr A; 2021 Mar; 1640():461931. PubMed ID: 33581675
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Sample dimensionality: a predictor of order-disorder in component peak distribution in multidimensional separation.
    Giddings JC
    J Chromatogr A; 1995 May; 703(1-2):3-15. PubMed ID: 7599743
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Probability theory for number of mixture components resolved by n independent columns.
    Davis JM; Blumberg LM
    J Chromatogr A; 2005 Nov; 1096(1-2):28-39. PubMed ID: 16301067
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Development of a resolution metric for comprehensive two-dimensional chromatography.
    Peters S; Vivó-Truyols G; Marriott PJ; Schoenmakers PJ
    J Chromatogr A; 2007 Apr; 1146(2):232-41. PubMed ID: 17320094
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Estimating non-Gaussian diffusion model parameters in the presence of physiological noise and Rician signal bias.
    Kristoffersen A
    J Magn Reson Imaging; 2012 Jan; 35(1):181-9. PubMed ID: 21972173
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.