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 *

260 related articles for article (PubMed ID: 29880730)

  • 1. Comparison between Multi-Linear- and Radial-Basis-Function-Neural-Network-Based QSPR Models for The Prediction of The Critical Temperature, Critical Pressure and Acentric Factor of Organic Compounds.
    Banchero M; Manna L
    Molecules; 2018 Jun; 23(6):. PubMed ID: 29880730
    [TBL] [Abstract][Full Text] [Related]  

  • 2. [Research on QSPR for n-octanol-water partition coefficients of organic compounds based on genetic algorithms-support vector machine and genetic algorithms-radial basis function neural networks].
    Qi J; Niu JF; Wang LL
    Huan Jing Ke Xue; 2008 Jan; 29(1):212-8. PubMed ID: 18441943
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Quantitative structure-property relationship study for estimation of quantitative calibration factors of some organic compounds in gas chromatography.
    Luan F; Liu HT; Wen Y; Zhang X
    Anal Chim Acta; 2008 Apr; 612(2):126-35. PubMed ID: 18358857
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Quantitative predictions of gas chromatography retention indexes with support vector machines, radial basis neural networks and multiple linear regression.
    Chen HF
    Anal Chim Acta; 2008 Feb; 609(1):24-36. PubMed ID: 18243870
    [TBL] [Abstract][Full Text] [Related]  

  • 5. QSPR study of Setschenow constants of organic compounds using MLR, ANN, and SVM analyses.
    Xu J; Wang L; Wang L; Shen X; Xu W
    J Comput Chem; 2011 Nov; 32(15):3241-52. PubMed ID: 21837634
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predicting equilibrium vapour pressure isotope effects by using artificial neural networks or multi-linear regression - A quantitative structure property relationship approach.
    Parinet J; Julien M; Nun P; Robins RJ; Remaud G; Höhener P
    Chemosphere; 2015 Sep; 134():521-7. PubMed ID: 25559176
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Quantitative structure-lambda(max) relationship study on flavones by heuristic method and radial basis function neural network.
    Liu H; Wen Y; Luan F; Gao Y; Li X
    Anal Chim Acta; 2009 Sep; 649(1):52-61. PubMed ID: 19664462
    [TBL] [Abstract][Full Text] [Related]  

  • 8. QSPR model of Henry's law constant for a diverse set of organic chemicals based on genetic algorithm-radial basis function network approach.
    Modarresi H; Modarress H; Dearden JC
    Chemosphere; 2007 Feb; 66(11):2067-76. PubMed ID: 17113627
    [TBL] [Abstract][Full Text] [Related]  

  • 9. QSPR analysis of air-to-blood distribution of volatile organic compounds.
    Luan F; Liu HT; Ma WP; Fan BT
    Ecotoxicol Environ Saf; 2008 Nov; 71(3):731-9. PubMed ID: 18067958
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Prediction of Henry's Law Constants via group-specific quantitative structure property relationships.
    O'Loughlin DR; English NJ
    Chemosphere; 2015 May; 127():1-9. PubMed ID: 25602194
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Development of liposome/water partition coefficients predictive models for neutral and ionogenic organic chemicals.
    Lin S; Yang X; Liu H
    Ecotoxicol Environ Saf; 2019 Sep; 179():40-49. PubMed ID: 31026749
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Wavelet neural network modeling in QSPR for prediction of solubility of 25 anthraquinone dyes at different temperatures and pressures in supercritical carbon dioxide.
    Tabaraki R; Khayamian T; Ensafi AA
    J Mol Graph Model; 2006 Sep; 25(1):46-54. PubMed ID: 16337156
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Application of radial basis function neural network to predict soil sorption partition coefficient using topological descriptors.
    Sabour MR; Moftakhari Anasori Movahed S
    Chemosphere; 2017 Feb; 168():877-884. PubMed ID: 27836283
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Estimation of the Toxicity of Different Substituted Aromatic Compounds to the Aquatic Ciliate
    Luan F; Wang T; Tang L; Zhang S; Cordeiro MNDS
    Molecules; 2018 Apr; 23(5):. PubMed ID: 29695132
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Quantitative structure-retention relationships for organic pollutants in biopartitioning micellar chromatography.
    Xia B; Ma W; Zhang X; Fan B
    Anal Chim Acta; 2007 Aug; 598(1):12-8. PubMed ID: 17693301
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Comparative study of QSAR/QSPR correlations using support vector machines, radial basis function neural networks, and multiple linear regression.
    Yao XJ; Panaye A; Doucet JP; Zhang RS; Chen HF; Liu MC; Hu ZD; Fan BT
    J Chem Inf Comput Sci; 2004; 44(4):1257-66. PubMed ID: 15272833
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of the maximum absorption wavelength of azobenzene dyes by QSPR tools.
    Xu X; Luan F; Liu H; Cheng J; Zhang X
    Spectrochim Acta A Mol Biomol Spectrosc; 2011 Dec; 83(1):353-61. PubMed ID: 21930420
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prediction of pK(a) for neutral and basic drugs based on radial basis function Neural networks and the heuristic method.
    Luan F; Ma W; Zhang H; Zhang X; Liu M; Hu Z; Fan B
    Pharm Res; 2005 Sep; 22(9):1454-60. PubMed ID: 16132357
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparison of Multiple Linear Regressions and Neural Networks based QSAR models for the design of new antitubercular compounds.
    Ventura C; Latino DA; Martins F
    Eur J Med Chem; 2013; 70():831-45. PubMed ID: 24246731
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Benchmarking of linear and nonlinear approaches for quantitative structure-property relationship studies of metal complexation with ionophores.
    Tetko IV; Solov'ev VP; Antonov AV; Yao X; Doucet JP; Fan B; Hoonakker F; Fourches D; Jost P; Lachiche N; Varnek A
    J Chem Inf Model; 2006; 46(2):808-19. PubMed ID: 16563012
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.