Improved gene expression programming and its application to QSAR

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@InProceedings{Fu:2010:ICNC,

• author = "Weizhong Fu and Yuntao Zhang and Zhengjun Cheng",
• title = "Improved gene expression programming and its application to QSAR",
• booktitle = "Sixth International Conference on Natural Computation (ICNC, 2010)",
• year = "2010",
• volume = "8",
• pages = "4057--4061",
• month = "10-12 " # aug,
• keywords = "genetic algorithms, genetic programming, gene expression programming, 0-(2-phthalimidoethyl)-n-substituted thiocarbamates, HIV-1 inhibitors, QSAR, RDF descriptors, acquired immune deficiency syndrome, descriptor selection, feature selection, improved gene expression programming, quantitative structure-activity relationship model, radial distribution function descriptors, replacement method, ring-opened congeners, biocomputing, evolutionary computation, radial basis function networks",
• isbn13 = "978-1-4244-5958-2",
• DOI = "doi:10.1109/ICNC.2010.5584850",
• abstract = "In the paper, the improved gene expression programming (IGEP) is proposed to develop a quantitative structure-activity relationship (QSAR) model of 70 compounds for O-(2-phthalimidoethyl)-N-substituted thiocarbamates and their ring-opened congeners as HIV-1 Inhibitors based on radial distribution function (RDF) descriptors for the first time. The replacement method (RM) is used as feature selection (descriptor selection). The five models (MLR, GEP, MC_GEP, IGEP, and SVM) are compared. The results show that IGEP has a good prediction ability.",

}

Genetic Programming entries for Weizhong Fu Yuntao Zhang Zhengjun Cheng

Citations