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 *

84 related articles for article (PubMed ID: 18970896)

  • 1. Identification of rhubarbs by using NIR spectrometry and temperature-constrained cascade correlation networks.
    Wang F; Zhang Z; Cui X; de B Harrington P
    Talanta; 2006 Dec; 70(5):1170-6. PubMed ID: 18970896
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Quality control of the powder pharmaceutical samples of sulfaguanidine by using NIR reflectance spectrometry and temperature-constrained cascade correlation networks.
    Cui X; Zhang Z; Ren Y; Liu S; Harrington Pde B
    Talanta; 2004 Nov; 64(4):943-8. PubMed ID: 18969694
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [Library search of UV spectra of organic environmental pollutants by temperature-constrained cascade-correlation networks].
    Liu SD; Cui XJ; Zhang ZY; Guo YN; Ye HF; Ding YZ
    Guang Pu Xue Yu Guang Pu Fen Xi; 2003 Feb; 23(1):119-22. PubMed ID: 12939985
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Temperature-constrained cascade correlation networks.
    Harrington Pde B
    Anal Chem; 1998 Apr; 70(7):1297-306. PubMed ID: 21644726
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Validation using sensitivity and target transform factor analyses of neural network models for classifying bacteria from mass spectra.
    de H; Voorhees KJ; Basile F; Hendricker AD
    J Am Soc Mass Spectrom; 2002 Jan; 13(1):10-21. PubMed ID: 11777195
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The application of an artificial neural network in the identification of medicinal rhubarbs by near-infrared spectroscopy.
    Xiang L; Fan G; Li J; Kang H; Yan Y; Zheng J; Guo D
    Phytochem Anal; 2002; 13(5):272-6. PubMed ID: 12918872
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [Identification of official rhubarb samples based on IR spectra and neural networks].
    Tang YF; Zhang ZY; Fan GQ; Zhu HJ; Wang XY
    Guang Pu Xue Yu Guang Pu Fen Xi; 2005 May; 25(5):715-8. PubMed ID: 16128071
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [Identification of official rhubarb samples based on NIR spectra and neural networks].
    Tang YF; Zhang ZY; Fan GQ
    Guang Pu Xue Yu Guang Pu Fen Xi; 2004 Nov; 24(11):1348-51. PubMed ID: 15762473
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Discriminant analysis of fused positive and negative ion mobility spectra using multivariate self-modeling mixture analysis and neural networks.
    Chen P; Harrington PB
    Appl Spectrosc; 2008 Feb; 62(2):133-41. PubMed ID: 18284787
    [TBL] [Abstract][Full Text] [Related]  

  • 10. [Artificial neural networks for the identification of infrared spectra of Ilex Kudingcha].
    Pang TT; Yao JB; Du LM
    Guang Pu Xue Yu Guang Pu Fen Xi; 2007 Jul; 27(7):1336-9. PubMed ID: 17944408
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [Identification methods of crop and weeds based on Vis/NIR spectroscopy and RBF-NN model].
    Zhu DS; Pan JZ; He Y
    Guang Pu Xue Yu Guang Pu Fen Xi; 2008 May; 28(5):1102-6. PubMed ID: 18720810
    [TBL] [Abstract][Full Text] [Related]  

  • 12. [Identification of rhubarb samples based on IR spectra by using Takagi-Sugeno fuzzy systems].
    Tang YF; Zhang ZY; Fan GQ
    Guang Pu Xue Yu Guang Pu Fen Xi; 2005 Apr; 25(4):521-4. PubMed ID: 16097675
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [Quantitative prediction of holocellulose, lignin, and microfibril angle of Chinese fir by BP-ANN and NIR spectrometry].
    Ding L; Xiang YH; Huang AM; Zhang ZY
    Guang Pu Xue Yu Guang Pu Fen Xi; 2009 Jul; 29(7):1784-7. PubMed ID: 19798940
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Evaluation of neural network models with generalized sensitivity analysis.
    Harrington PB; Urbas A; Wan C
    Anal Chem; 2000 Oct; 72(20):5004-13. PubMed ID: 11055722
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Evaluation of feed-forward back propagation and radial basis function neural networks in simultaneous kinetic spectrophotometric determination of nitroaniline isomers.
    Hasani M; Emami F
    Talanta; 2008 Mar; 75(1):116-26. PubMed ID: 18371856
    [TBL] [Abstract][Full Text] [Related]  

  • 16. [Radial basis function networks and IR spectrometry applied for identification of official rhubarb samples].
    Ma SM; Liu SD; Zhang ZY; Fan GQ
    Guang Pu Xue Yu Guang Pu Fen Xi; 2005 Jun; 25(6):874-7. PubMed ID: 16201361
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [Study of discrimination of corn seed based on near-infrared spectra and artificial neural network model].
    Chen J; Chen X; Li W; Wang JH; Han DH
    Guang Pu Xue Yu Guang Pu Fen Xi; 2008 Aug; 28(8):1806-9. PubMed ID: 18975808
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Nondestructive quantitative analysis of erythromycin ethylsuccinate powder drug via short-wave near-infrared spectroscopy combined with radial basis function neural networks.
    Qu N; Li X; Dou Y; Mi H; Guo Y; Ren Y
    Eur J Pharm Sci; 2007 Jul; 31(3-4):156-64. PubMed ID: 17449230
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prediction of substructure and toxicity of pesticides with temperature constrained-cascade correlation network from low-resolution mass spectra.
    Cai C; Harrington PB
    Anal Chem; 1999 Oct; 71(19):4134-41. PubMed ID: 10517138
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [Fast discrimination of varieties of bayberry juice based on spectroscopy technology].
    Cen HY; Bao YD; He Y
    Guang Pu Xue Yu Guang Pu Fen Xi; 2007 Mar; 27(3):503-6. PubMed ID: 17554908
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.