- author = "H. Z. Si and K. J. Zhang and Z. D. Hu and B. T. Fan",
- title = "QSAR Model for Prediction Capacity Factor of Molecular Imprinting Polymer Based on Gene Expression Programming",
- journal = "QSAR \& Combinatorial Science",
- year = "2007",
- volume = "26",
- number = "1",
- pages = "41--50",
- month = jan,
- keywords = "genetic algorithms, genetic programming, Gene Expression Programming, Support vector machine",
-
DOI = "
doi:10.1002/qsar.200530187",
- size = "10 pages",
- abstract = "The Gene Expression Programming (GEP), as a novel type of learning machine, for the first time, has been in this study used to develop a quantitative structure-activity relationship model of 39 compounds of molecular imprinting polymer based on calculated chemical parameters. The comparison with heuristic method and support vector machines approaches reveals a good prediction of GEP.",
-
notes = "1 Department of Chemistry, Lanzhou University, Lanzhou
730000, P. R. China
2 Center for Disease Control of Gansu Province, Lanzhou 730020, P. R. China
3 School of Mechanical and Electrical Engineering, JUST, Ganzhou 341000, P. R. China
4 University Paris 7-Denis Diderot, ITODYS 1, rue Guy de la Brosse, Paris 75005, France",
