115 related articles for article (PubMed ID: 17878584)
1. Prediction of acute in vivo toxicity of some amine and amide drugs to rats by multiple linear regression, partial least squares and an artificial neural network.
Mahani MK; Chaloosi M; Maragheh MG; Khanchi AR; Afzali D
Anal Sci; 2007 Sep; 23(9):1091-5. PubMed ID: 17878584
[TBL] [Abstract][Full Text] [Related]
2. Chemometrics-assisted simultaneous voltammetric determination of ascorbic acid, uric acid, dopamine and nitrite: application of non-bilinear voltammetric data for exploiting first-order advantage.
Gholivand MB; Jalalvand AR; Goicoechea HC; Skov T
Talanta; 2014 Feb; 119():553-63. PubMed ID: 24401455
[TBL] [Abstract][Full Text] [Related]
3. Comparative chemometric modeling of cytochrome 3A4 inhibitory activity of structurally diverse compounds using stepwise MLR, FA-MLR, PLS, GFA, G/PLS and ANN techniques.
Roy K; Pratim Roy P
Eur J Med Chem; 2009 Jul; 44(7):2913-22. PubMed ID: 19128860
[TBL] [Abstract][Full Text] [Related]
4. Predicting blood β-hydroxybutyrate using milk Fourier transform infrared spectrum, milk composition, and producer-reported variables with multiple linear regression, partial least squares regression, and artificial neural network.
Pralle RS; Weigel KW; White HM
J Dairy Sci; 2018 May; 101(5):4378-4387. PubMed ID: 29477523
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Modelling of human acute toxicity from physicochemical properties and non-vertebrate acute toxicity of the 38 organic chemicals of the MEIC priority list by PLS regression and neural network.
Calleja MC; Geladi P; Persoone G
Food Chem Toxicol; 1994 Oct; 32(10):923-41. PubMed ID: 7959448
[TBL] [Abstract][Full Text] [Related]
7. Variable selection in near-infrared spectroscopy: benchmarking of feature selection methods on biodiesel data.
Balabin RM; Smirnov SV
Anal Chim Acta; 2011 Apr; 692(1-2):63-72. PubMed ID: 21501713
[TBL] [Abstract][Full Text] [Related]
8. Prediction of cytotoxicity data (CC(50)) of anti-HIV 5-phenyl-1-phenylamino-1H-imidazole derivatives by artificial neural network trained with Levenberg-Marquardt algorithm.
Arab Chamjangali M; Beglari M; Bagherian G
J Mol Graph Model; 2007 Jul; 26(1):360-7. PubMed ID: 17350867
[TBL] [Abstract][Full Text] [Related]
9. Insecticidal activity of phenolic acid amides against brown planthopper (BPH),
Kaushik P; Sarkar DJ; Chander S; Rana VS; Shakil NA
J Environ Sci Health B; 2019; 54(6):489-497. PubMed ID: 30821570
[TBL] [Abstract][Full Text] [Related]
10. A tentative quantitative structure-toxicity relationship study of benzodiazepine drugs.
Funar-Timofei S; Ionescu D; Suzuki T
Toxicol In Vitro; 2010 Feb; 24(1):184-200. PubMed ID: 19765642
[TBL] [Abstract][Full Text] [Related]
11. Exploring QSARs of vascular endothelial growth factor receptor-2 (VEGFR-2) tyrosine kinase inhibitors by MLR, PLS and PC-ANN.
Deeb O; Jawabreh S; Goodarzi M
Curr Pharm Des; 2013; 19(12):2237-44. PubMed ID: 23016841
[TBL] [Abstract][Full Text] [Related]
12. Prediction of mammalian toxicity of organophosphorus pesticides from QSTR modeling.
Devillers J
SAR QSAR Environ Res; 2004; 15(5-6):501-10. PubMed ID: 15669705
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Chaotic neural network algorithm with competitive learning integrated with partial Least Square models for the prediction of the toxicity of fragrances in sanitizers and disinfectants.
Lephalala M; Vives SS; Bisetty K
Sci Total Environ; 2024 Sep; 942():173754. PubMed ID: 38844215
[TBL] [Abstract][Full Text] [Related]
15. Predictive QSAR modeling of HIV reverse transcriptase inhibitor TIBO derivatives.
Mandal AS; Roy K
Eur J Med Chem; 2009 Apr; 44(4):1509-24. PubMed ID: 18760864
[TBL] [Abstract][Full Text] [Related]
16. Development of linear and nonlinear predictive QSAR models and their external validation using molecular similarity principle for anti-HIV indolyl aryl sulfones.
Roy K; Mandal AS
J Enzyme Inhib Med Chem; 2008 Dec; 23(6):980-95. PubMed ID: 18608761
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. 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]
19. Quantitative structure migration relationship modeling of migration factor for some benzene derivatives in micellar electrokinetic chromatography.
Fatemi MH; Shamseddin H; Malekzadeh H
J Sep Sci; 2009 Jun; 32(11):1934-40. PubMed ID: 19425021
[TBL] [Abstract][Full Text] [Related]
20. Development of a partial least squares-artificial neural network (PLS-ANN) hybrid model for the prediction of consumer liking scores of ready-to-drink green tea beverages.
Yu P; Low MY; Zhou W
Food Res Int; 2018 Jan; 103():68-75. PubMed ID: 29389644
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]