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 *

132 related articles for article (PubMed ID: 14989482)

  • 1. Prediction of gas chromatographic retention indices of a diverse set of toxicologically relevant compounds.
    Garkani-Nejad Z; Karlovits M; Demuth W; Stimpfl T; Vycudilik W; Jalali-Heravi M; Varmuza K
    J Chromatogr A; 2004 Mar; 1028(2):287-95. PubMed ID: 14989482
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Transfer of gas chromatographic retention data among poly(siloxane) columns by quantitative structure-retention relationships based on molecular descriptors of both solutes and stationary phases.
    Biancolillo A; D'Archivio AA
    J Chromatogr A; 2022 Jan; 1663():462758. PubMed ID: 34954535
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Cross-column prediction of gas-chromatographic retention of polychlorinated biphenyls by artificial neural networks.
    D'Archivio AA; Incani A; Ruggieri F
    J Chromatogr A; 2011 Dec; 1218(48):8679-90. PubMed ID: 22000780
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Prediction of gas chromatography/electron capture detector retention times of chlorinated pesticides, herbicides, and organohalides by multivariate chemometrics methods.
    Ghasemi J; Asadpour S; Abdolmaleki A
    Anal Chim Acta; 2007 Apr; 588(2):200-6. PubMed ID: 17386811
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Predictions of chromatographic retention indices of alkylphenols with support vector machines and multiple linear regression.
    Fatemi MH; Baher E; Ghorbanzade'h M
    J Sep Sci; 2009 Dec; 32(23-24):4133-42. PubMed ID: 19937857
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparative multiple quantitative structure-retention relationships modeling of gas chromatographic retention time of essential oils using multiple linear regression, principal component regression, and partial least squares techniques.
    Qin LT; Liu SS; Liu HL; Tong J
    J Chromatogr A; 2009 Jul; 1216(27):5302-12. PubMed ID: 19486989
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Quantitative structure-retention relationships for gas chromatographic retention indices of alkylbenzenes with molecular graph descriptors.
    Ivanciuc O; Ivanciuc T; Klein DJ; Seitz WA; Balaban AT
    SAR QSAR Environ Res; 2001 Feb; 11(5-6):419-52. PubMed ID: 11328713
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Comparison of ridge regression, partial least-squares, pairwise correlation, forward- and best subset selection methods for prediction of retention indices for aliphatic alcohols.
    Farkas O; Héberger K
    J Chem Inf Model; 2005; 45(2):339-46. PubMed ID: 15807497
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Theoretical prediction of the Kovat's retention index for oxygen-containing organic compounds using novel topological indices.
    Liu F; Liang Y; Cao C; Zhou N
    Anal Chim Acta; 2007 Jul; 594(2):279-89. PubMed ID: 17586126
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Retention modelling of polychlorinated biphenyls in comprehensive two-dimensional gas chromatography.
    D'Archivio AA; Incani A; Ruggieri F
    Anal Bioanal Chem; 2011 Jan; 399(2):903-13. PubMed ID: 20972553
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Comparison of in-silico modelling and reversed-phase liquid chromatographic retention on an octadecyl silica column to predict skin permeability of pharmaceutical and cosmetic compounds.
    Grooten Y; Sych A; Mangelings D; Vander Heyden Y
    J Pharm Biomed Anal; 2021 Jul; 201():114095. PubMed ID: 33933706
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Quantitative study of the structure-retention index relationship in the imine family.
    Acevedo-Martínez J; Escalona-Arranz JC; Villar-Rojas A; Téllez-Palmero F; Pérez-Rosés R; González L; Carrasco-Velar R
    J Chromatogr A; 2006 Jan; 1102(1-2):238-44. PubMed ID: 16288769
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comparison of quantitative structure-retention relationship models on four stationary phases with different polarity for a diverse set of flavor compounds.
    Yan J; Cao DS; Guo FQ; Zhang LX; He M; Huang JH; Xu QS; Liang YZ
    J Chromatogr A; 2012 Feb; 1223():118-25. PubMed ID: 22218329
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Cross-column prediction of gas-chromatographic retention of polybrominated diphenyl ethers.
    D'Archivio AA; Giannitto A; Maggi MA
    J Chromatogr A; 2013 Jul; 1298():118-31. PubMed ID: 23726355
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Evaluating the performances of quantitative structure-retention relationship models with different sets of molecular descriptors and databases for high-performance liquid chromatography predictions.
    Wang C; Skibic MJ; Higgs RE; Watson IA; Bui H; Wang J; Cintron JM
    J Chromatogr A; 2009 Jun; 1216(25):5030-8. PubMed ID: 19439313
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multivariate linear QSPR/QSAR models: Rigorous evaluation of variable selection for PLS.
    Varmuza K; Filzmoser P; Dehmer M
    Comput Struct Biotechnol J; 2013; 5():e201302007. PubMed ID: 24688700
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Cross-column prediction of gas-chromatographic retention indices of saturated esters.
    D'Archivio AA; Maggi MA; Ruggieri F
    J Chromatogr A; 2014 Aug; 1355():269-77. PubMed ID: 24939086
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Genetic programming based quantitative structure-retention relationships for the prediction of Kovats retention indices.
    Goel P; Bapat S; Vyas R; Tambe A; Tambe SS
    J Chromatogr A; 2015 Nov; 1420():98-109. PubMed ID: 26460075
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prediction of retention in hydrophilic interaction liquid chromatography using solute molecular descriptors based on chemical structures.
    Taraji M; Haddad PR; Amos RI; Talebi M; Szucs R; Dolan JW; Pohl CA
    J Chromatogr A; 2017 Feb; 1486():59-67. PubMed ID: 28049585
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Retention-time prediction in comprehensive two-dimensional gas chromatography to aid identification of unknown contaminants.
    Veenaas C; Linusson A; Haglund P
    Anal Bioanal Chem; 2018 Dec; 410(30):7931-7941. PubMed ID: 30361914
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.