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 *

128 related articles for article (PubMed ID: 16961227)

  • 1. [Rapid and robust partial least squares regression and its application to NIR spectroscopy analysis].
    Cheng Z; Chen DZ
    Guang Pu Xue Yu Guang Pu Fen Xi; 2006 Jun; 26(6):1046-50. PubMed ID: 16961227
    [TBL] [Abstract][Full Text] [Related]  

  • 2. [Quantitative analysis of electronic absorption spectroscopy by piecewise orthogonal signal correction and partial least square].
    Cheng Z; Zhu AS; Zhang LQ
    Guang Pu Xue Yu Guang Pu Fen Xi; 2008 Apr; 28(4):860-4. PubMed ID: 18619316
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [Double-layer partial least squares method and its application to NIR spectroscopic quantitative analysis].
    Cheng Z
    Guang Pu Xue Yu Guang Pu Fen Xi; 2007 Jun; 27(6):1127-30. PubMed ID: 17763774
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Genetic algorithm interval partial least squares regression combined successive projections algorithm for variable selection in near-infrared quantitative analysis of pigment in cucumber leaves.
    Zou X; Zhao J; Mao H; Shi J; Yin X; Li Y
    Appl Spectrosc; 2010 Jul; 64(7):786-94. PubMed ID: 20615293
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Variable selection, outlier detection, and figures of merit estimation in a partial least-squares regression multivariate calibration model. A case study for the determination of quality parameters in the alcohol industry by near-infrared spectroscopy.
    Valderrama P; Braga JW; Poppi RJ
    J Agric Food Chem; 2007 Oct; 55(21):8331-8. PubMed ID: 17927144
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Robust partial least squares model for prediction of green tea antioxidant capacity from chromatograms.
    Daszykowski M; Vander Heyden Y; Walczak B
    J Chromatogr A; 2007 Dec; 1176(1-2):12-8. PubMed ID: 18023450
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Genetic algorithm optimisation combined with partial least squares regression and mutual information variable selection procedures in near-infrared quantitative analysis of cotton-viscose textiles.
    Durand A; Devos O; Ruckebusch C; Huvenne JP
    Anal Chim Acta; 2007 Jul; 595(1-2):72-9. PubMed ID: 17605985
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prediction of wood property in Chinese Fir based on visible/near-infrared spectroscopy and least square-support vector machine.
    Zhu X; Shan Y; Li G; Huang A; Zhang Z
    Spectrochim Acta A Mol Biomol Spectrosc; 2009 Oct; 74(2):344-8. PubMed ID: 19576843
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Applying spectral peak area analysis in near-infrared spectroscopy moisture assays.
    Brülls M; Folestad S; Sparén A; Rasmuson A; Salomonsson J
    J Pharm Biomed Anal; 2007 May; 44(1):127-36. PubMed ID: 17391888
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Rapid determination of sucrose in chocolate mass using near infrared spectroscopy.
    da Costa Filho PA
    Anal Chim Acta; 2009 Jan; 631(2):206-11. PubMed ID: 19084627
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Unlocking interpretation in near infrared multivariate calibrations by orthogonal partial least squares.
    Stenlund H; Johansson E; Gottfries J; Trygg J
    Anal Chem; 2009 Jan; 81(1):203-9. PubMed ID: 19117451
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Importance of prediction outlier diagnostics in determining a successful inter-vendor multivariate calibration model transfer.
    Guenard RD; Wehlburg CM; Pell RJ; Haaland DM
    Appl Spectrosc; 2007 Jul; 61(7):747-54. PubMed ID: 17697469
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Spatial sign preprocessing: a simple way to impart moderate robustness to multivariate estimators.
    Serneels S; De Nolf E; Van Espen PJ
    J Chem Inf Model; 2006; 46(3):1402-9. PubMed ID: 16711760
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Classification of pharmaceutical tablet with canonical variates analysis method in spectra analysis].
    Cheng Z; Zhu AS
    Guang Pu Xue Yu Guang Pu Fen Xi; 2009 Mar; 29(3):624-8. PubMed ID: 19455787
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Mutual information-induced interval selection combined with kernel partial least squares for near-infrared spectral calibration.
    Tan C; Li M
    Spectrochim Acta A Mol Biomol Spectrosc; 2008 Dec; 71(4):1266-73. PubMed ID: 18462989
    [TBL] [Abstract][Full Text] [Related]  

  • 16. [Fast outlier detection for milk near-infrared spectroscopy analysis].
    Liu R; Chen WL; Xu KX; Qiu QJ; Cui HX
    Guang Pu Xue Yu Guang Pu Fen Xi; 2005 Feb; 25(2):207-10. PubMed ID: 15852858
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of ethylene content in melt-state random and block polypropylene by near-infrared spectroscopy and chemometrics: comparison of a new calibration transfer method with a slope/bias correction method.
    Watari M; Ozaki Y
    Appl Spectrosc; 2004 Oct; 58(10):1210-8. PubMed ID: 18070400
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An improved boosting partial least squares method for near-infrared spectroscopic quantitative analysis.
    Shao X; Bian X; Cai W
    Anal Chim Acta; 2010 May; 666(1-2):32-7. PubMed ID: 20433961
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Evaluation of transmission and reflection modalities for measuring content uniformity of pharmaceutical tablets with near-infrared spectroscopy.
    Xiang D; LoBrutto R; Cheney J; Wabuyele BW; Berry J; Lyon R; Wu H; Khan MA; Hussain AS
    Appl Spectrosc; 2009 Jan; 63(1):33-47. PubMed ID: 19146717
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Analysis of nitrogen fractions in silage by near-infrared spectroscopy.
    Hermida M; Lois A; Rodriguez-Otero JL
    J Agric Food Chem; 2005 Mar; 53(5):1374-8. PubMed ID: 15740009
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.