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Journal Abstract Search

184 related items for PubMed ID: 20170987

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  • 2. Support vector machine regression (LS-SVM)--an alternative to artificial neural networks (ANNs) for the analysis of quantum chemistry data?
    Balabin RM, Lomakina EI.
    Phys Chem Chem Phys; 2011 Jun 28; 13(24):11710-8. PubMed ID: 21594265
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  • 3. Toward an optimal procedure for PC-ANN model building: prediction of the carcinogenic activity of a large set of drugs.
    Hemmateenejad B, Safarpour MA, Miri R, Nesari N.
    J Chem Inf Model; 2005 Jun 28; 45(1):190-9. PubMed ID: 15667145
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  • 7. Classification of raw and roasted Semen Cassiae samples with the use of Fourier transform infrared fingerprints and least squares support vector machines.
    Lai Y, Ni Y, Kokot S.
    Appl Spectrosc; 2010 Jun 28; 64(6):649-56. PubMed ID: 20537233
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  • 8. ANN-QSAR model of drug-binding to human serum albumin.
    Deeb O, Hemmateenejad B.
    Chem Biol Drug Des; 2007 Jul 28; 70(1):19-29. PubMed ID: 17630991
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  • 10. 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; 15(24):7746-54. PubMed ID: 17870538
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  • 12. 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 26; 56(22):10785-92. PubMed ID: 18950187
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  • 14. QSAR models for 2-amino-6-arylsulfonylbenzonitriles and congeners HIV-1 reverse transcriptase inhibitors based on linear and nonlinear regression methods.
    Hu R, Doucet JP, Delamar M, Zhang R.
    Eur J Med Chem; 2009 May 26; 44(5):2158-71. PubMed ID: 19054595
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  • 15. Application of support vector machine (SVM) for prediction toxic activity of different data sets.
    Zhao CY, Zhang HX, Zhang XY, Liu MC, Hu ZD, Fan BT.
    Toxicology; 2006 Jan 16; 217(2-3):105-19. PubMed ID: 16213080
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  • 17. QSAR study of anthranilic acid sulfonamides as inhibitors of methionine aminopeptidase-2 using LS-SVM and GRNN based on principal components.
    Shahlaei M, Sabet R, Ziari MB, Moeinifard B, Fassihi A, Karbakhsh R.
    Eur J Med Chem; 2010 Oct 16; 45(10):4499-508. PubMed ID: 20691509
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  • 18. 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 Oct 16; 44(4):1257-66. PubMed ID: 15272833
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  • 19. Feature selection and linear/nonlinear regression methods for the accurate prediction of glycogen synthase kinase-3beta inhibitory activities.
    Goodarzi M, Freitas MP, Jensen R.
    J Chem Inf Model; 2009 Apr 16; 49(4):824-32. PubMed ID: 19338295
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