BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

142 related articles for article (PubMed ID: 8946794)

  • 1. Genetic algorithm-based method for selecting wavelengths and model size for use with partial least-squares regression: application to near-infrared spectroscopy.
    Bangalore AS; Shaffer RE; Small GW; Arnold MA
    Anal Chem; 1996 Dec; 68(23):4200-12. PubMed ID: 8946794
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Calibration standardization algorithm for partial least-squares regression: application to the determination of physiological levels of glucose by near-infrared spectroscopy.
    Zhang L; Small GW; Arnold MA
    Anal Chem; 2002 Aug; 74(16):4097-108. PubMed ID: 12199580
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Variable selection in near-infrared spectroscopy: benchmarking of feature selection methods on biodiesel data.
    Balabin RM; Smirnov SV
    Anal Chim Acta; 2011 Apr; 692(1-2):63-72. PubMed ID: 21501713
    [TBL] [Abstract][Full Text] [Related]  

  • 4. [Nondestructive measurement of SSC in western pear using genetic algorithms and FT-NIR spectroscopy].
    Wang JH; Pan L; Sun Q; Li PF; Han DH
    Guang Pu Xue Yu Guang Pu Fen Xi; 2009 Mar; 29(3):678-81. PubMed ID: 19455798
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multi-objective genetic algorithm-based sample selection for partial least squares model building with applications to near-infrared spectroscopic data.
    Shinzawa H; Li B; Nakagawa T; Maruo K; Ozaki Y
    Appl Spectrosc; 2006 Jun; 60(6):631-40. PubMed ID: 16808864
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Digital filtering and model updating methods for improving the robustness of near-infrared multivariate calibrations.
    Kramer KE; Small GW
    Appl Spectrosc; 2009 Feb; 63(2):246-55. PubMed ID: 19215656
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Genetic algorithm-based wavelength selection for the near-infrared determination of glucose in biological matrixes: initialization strategies and effects of spectral resolution.
    Ding Q; Small GW; Arnold MA
    Anal Chem; 1998 Nov; 70(21):4472-9. PubMed ID: 9823709
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Wavelet analysis used for spectral background removal in the determination of glucose from near-infrared single-beam spectra.
    Wan B; Small GW
    Anal Chim Acta; 2010 Nov; 681(1-2):63-70. PubMed ID: 21035604
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Nondestructive near-infrared spectroscopic measurement of multiple analytes in undiluted samples of serum-based cell culture media.
    Rhiel M; Cohen MB; Murhammer DW; Arnold MA
    Biotechnol Bioeng; 2002 Jan; 77(1):73-82. PubMed ID: 11745175
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Genetic algorithm-based protocol for coupling digital filtering and partial least-squares regression: application to the near-infrared analysis of glucose in biological matrices.
    Shaffer RE; Small GW; Arnold MA
    Anal Chem; 1996 Aug; 68(15):2663-75. PubMed ID: 8694264
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Near-infrared spectroscopic measurement of physiological glucose levels in variable matrices of protein and triglycerides.
    Pan S; Chung H; Arnold MA; Small GW
    Anal Chem; 1996 Apr; 68(7):1124-35. PubMed ID: 8651489
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A new and efficient variable selection algorithm based on ant colony optimization. Applications to near infrared spectroscopy/partial least-squares analysis.
    Allegrini F; Olivieri AC
    Anal Chim Acta; 2011 Aug; 699(1):18-25. PubMed ID: 21704753
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Determination of glucose in a biological matrix by multivariate analysis of multiple band-pass-filtered Fourier transform near-infrared interferograms.
    Mattu MJ; Small GW; Arnold MA
    Anal Chem; 1997 Nov; 69(22):4695-702. PubMed ID: 9375520
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Successive projections algorithm and its application to selecting the wheat near-infrared spectral variables].
    Cheng Z; Zhang LQ; Liu HY; Zhu AS
    Guang Pu Xue Yu Guang Pu Fen Xi; 2010 Apr; 30(4):949-52. PubMed ID: 20545137
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Spectral simulation methodology for calibration transfer of near-infrared spectra.
    Sulub Y; Small GW
    Appl Spectrosc; 2007 Apr; 61(4):406-13. PubMed ID: 17456259
    [TBL] [Abstract][Full Text] [Related]  

  • 16. [The net analyte preprocessing combined with radial basis partial least squares regression applied in noninvasive measurement of blood glucose].
    Li QB; Huang ZW
    Guang Pu Xue Yu Guang Pu Fen Xi; 2014 Feb; 34(2):494-7. PubMed ID: 24822427
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Improving the performance of hollow waveguide-based infrared gas sensors via tailored chemometrics.
    Perez-Guaita D; Wilk A; Kuligowski J; Quintás G; de la Guardia M; Mizaikoff B
    Anal Bioanal Chem; 2013 Oct; 405(25):8223-32. PubMed ID: 23925797
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Effects of nonlinearities and uncorrelated or correlated errors in realistic simulated data on the prediction abilities of augmented classical least squares and partial least squares.
    Melgaard DK; Haaland DM
    Appl Spectrosc; 2004 Sep; 58(9):1065-73. PubMed ID: 15479523
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Boosting the Performance of Genetic Algorithms for Variable Selection in Partial Least Squares Spectral Calibrations.
    Lavine BK; White CG
    Appl Spectrosc; 2017 Sep; 71(9):2092-2101. PubMed ID: 28537475
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration.
    Li H; Liang Y; Xu Q; Cao D
    Anal Chim Acta; 2009 Aug; 648(1):77-84. PubMed ID: 19616692
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.