408 related articles for article (PubMed ID: 19144466)
1. 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]
2. 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]
3. 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]
4. A novel QSAR model for prediction of apoptosis-inducing activity of 4-aryl-4-H-chromenes based on support vector machine.
Fatemi MH; Gharaghani S
Bioorg Med Chem; 2007 Dec; 15(24):7746-54. PubMed ID: 17870538
[TBL] [Abstract][Full Text] [Related]
5. Prediction of gas chromatographic retention indices of some amino acids and carboxylic acids from their structural descriptors.
Fatemi MH; Elyasi M
J Sep Sci; 2011 Nov; 34(22):3216-20. PubMed ID: 22012944
[TBL] [Abstract][Full Text] [Related]
6. Exploring QSARs for inhibitory activity of non-peptide HIV-1 protease inhibitors by GA-PLS and GA-SVM.
Deeb O; Goodarzi M
Chem Biol Drug Des; 2010 May; 75(5):506-14. PubMed ID: 20486937
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. Quantum chemical calculations to reveal the relationship between the chemical structure and the fluorescence characteristics of phenylquinolinylethynes and phenylisoquinolinylethynes derivatives, and to predict their relative fluorescence intensity.
Riahi S; Beheshti A; Ganjali MR; Norouzi P
Spectrochim Acta A Mol Biomol Spectrosc; 2009 Dec; 74(5):1077-83. PubMed ID: 19854100
[TBL] [Abstract][Full Text] [Related]
10. Prediction of capillary gas chromatographic retention times of fatty acid methyl esters in human blood using MLR, PLS and back-propagation artificial neural networks.
Gupta VK; Khani H; Ahmadi-Roudi B; Mirakhorli S; Fereyduni E; Agarwal S
Talanta; 2011 Jan; 83(3):1014-22. PubMed ID: 21147352
[TBL] [Abstract][Full Text] [Related]
11. Variable selection in visible/near infrared spectra for linear and nonlinear calibrations: a case study to determine soluble solids content of beer.
Liu F; Jiang Y; He Y
Anal Chim Acta; 2009 Mar; 635(1):45-52. PubMed ID: 19200477
[TBL] [Abstract][Full Text] [Related]
12. Support vector machine-based quantitative structure-activity relationship study of cholesteryl ester transfer protein inhibitors.
Riahi S; Pourbasheer E; Ganjali MR; Norouzi P
Chem Biol Drug Des; 2009 May; 73(5):558-71. PubMed ID: 19323654
[TBL] [Abstract][Full Text] [Related]
13. Application of genetic algorithm-support vector machine (GA-SVM) for prediction of BK-channels activity.
Pourbasheer E; Riahi S; Ganjali MR; Norouzi P
Eur J Med Chem; 2009 Dec; 44(12):5023-8. PubMed ID: 19837488
[TBL] [Abstract][Full Text] [Related]
14. QSAR study on melanocortin-4 receptors by support vector machine.
Pourbasheer E; Riahi S; Ganjali MR; Norouzi P
Eur J Med Chem; 2010 Mar; 45(3):1087-93. PubMed ID: 20031282
[TBL] [Abstract][Full Text] [Related]
15. Predicting liquid chromatographic retention times of peptides from the Drosophila melanogaster proteome by machine learning approaches.
Tian F; Yang L; Lv F; Zhou P
Anal Chim Acta; 2009 Jun; 644(1-2):10-6. PubMed ID: 19463555
[TBL] [Abstract][Full Text] [Related]
16. Prediction of fungicidal activities of rice blast disease based on least-squares support vector machines and project pursuit regression.
Du H; Wang J; Hu Z; Yao X; Zhang X
J Agric Food Chem; 2008 Nov; 56(22):10785-92. PubMed ID: 18950187
[TBL] [Abstract][Full Text] [Related]
17. Prediction of retention times for a large set of pesticides or toxicants based on support vector machine and the heuristic method.
Li X; Luan F; Si H; Hu Z; Liu M
Toxicol Lett; 2007 Dec; 175(1-3):136-44. PubMed ID: 18024009
[TBL] [Abstract][Full Text] [Related]
18. Prediction of intrinsic solubility of generic drugs using MLR, ANN and SVM analyses.
Louis B; Agrawal VK; Khadikar PV
Eur J Med Chem; 2010 Sep; 45(9):4018-25. PubMed ID: 20584562
[TBL] [Abstract][Full Text] [Related]
19. Modeling of retention behaviors of most frequent components of essential oils in polar and non-polar stationary phases.
Jalali-Heravi M; Ebrahimi-Najafabadi H
J Sep Sci; 2011 Jul; 34(13):1538-46. PubMed ID: 21626695
[TBL] [Abstract][Full Text] [Related]
20. Modeling and prediction of retention behavior of histidine-containing peptides in immobilized metal-affinity chromatography.
Tian F; Yang L; Lv F; Zhou P
J Sep Sci; 2009 Jun; 32(12):2159-69. PubMed ID: 19548218
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
