170 related articles for article (PubMed ID: 15807497)
1. 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]
2. Prediction of retention indices for identification of fatty acid methyl esters.
Farkas O; Zenkevich IG; Stout F; Kalivas JH; Héberger K
J Chromatogr A; 2008 Jul; 1198-1199():188-95. PubMed ID: 18533170
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. 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]
6. Advanced QSRR modeling of peptides behavior in RPLC.
Bodzioch K; Durand A; Kaliszan R; Baczek T; Vander Heyden Y
Talanta; 2010 Jun; 81(4-5):1711-8. PubMed ID: 20441962
[TBL] [Abstract][Full Text] [Related]
7. Quantitative structure-retention relationship for the Kovats retention indices of a large set of terpenes: a combined data splitting-feature selection strategy.
Hemmateenejad B; Javadnia K; Elyasi M
Anal Chim Acta; 2007 May; 592(1):72-81. PubMed ID: 17499073
[TBL] [Abstract][Full Text] [Related]
8. Investigation of different linear and nonlinear chemometric methods for modeling of retention index of essential oil components: concerns to support vector machine.
Riahi S; Pourbasheer E; Ganjali MR; Norouzi P
J Hazard Mater; 2009 Jul; 166(2-3):853-9. PubMed ID: 19144466
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. VSMP: a novel variable selection and modeling method based on the prediction.
Liu SS; Liu HL; Yin CS; Wang LS
J Chem Inf Comput Sci; 2003; 43(3):964-9. PubMed ID: 12767155
[TBL] [Abstract][Full Text] [Related]
11. The evaluation of two-step multivariate adaptive regression splines for chromatographic retention prediction of peptides.
Put R; Vander Heyden Y
Proteomics; 2007 May; 7(10):1664-77. PubMed ID: 17443841
[TBL] [Abstract][Full Text] [Related]
12. Retention prediction of peptides based on uninformative variable elimination by partial least squares.
Put R; Daszykowski M; Baczek T; Vander Heyden Y
J Proteome Res; 2006 Jul; 5(7):1618-25. PubMed ID: 16823969
[TBL] [Abstract][Full Text] [Related]
13. Wavelength selection for multivariate calibration using tikhonov regularization.
Stout F; Kalivas JH; Héberger K
Appl Spectrosc; 2007 Jan; 61(1):85-95. PubMed ID: 17311721
[TBL] [Abstract][Full Text] [Related]
14. Variable selection and interpretation in structure-affinity correlation modeling of estrogen receptor binders.
Marini F; Roncaglioni A; Novic M
J Chem Inf Model; 2005; 45(6):1507-19. PubMed ID: 16309247
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Quantitative structure-retention relationship of new N-substituted 2-alkylidene-4-oxothiazolidines.
Dabić D; Natić M; Džambaski Z; Marković R; Milojković-Opsenica D; Tešić Ž
J Sep Sci; 2011 Sep; 34(18):2397-404. PubMed ID: 21735548
[TBL] [Abstract][Full Text] [Related]
17. Prediction of retention indices of drugs based on immobilized artificial membrane chromatography using Projection Pursuit Regression and Local Lazy Regression.
Du H; Watzl J; Wang J; Zhang X; Yao X; Hu Z
J Sep Sci; 2008 Jul; 31(12):2325-33. PubMed ID: 18491354
[TBL] [Abstract][Full Text] [Related]
18. Prediction of octanol-water partition coefficients of organic compounds by multiple linear regression, partial least squares, and artificial neural network.
Golmohammadi H
J Comput Chem; 2009 Nov; 30(15):2455-65. PubMed ID: 19360793
[TBL] [Abstract][Full Text] [Related]
19. Prediction of HPLC retention index using artificial neural networks and IGroup E-state indices.
Albaugh DR; Hall LM; Hill DW; Kertesz TM; Parham M; Hall LH; Grant DF
J Chem Inf Model; 2009 Apr; 49(4):788-99. PubMed ID: 19309176
[TBL] [Abstract][Full Text] [Related]
20. Structure-retention relationship study of arylpiperazines by linear multivariate modeling.
Trifković J; Andrić F; Ristivojević P; Andrić D; Tesić ZLj; Milojković-Opsenica DM
J Sep Sci; 2010 Sep; 33(17-18):2619-28. PubMed ID: 20665766
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
