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Journal of Chemical Information and Computer Sciences|June 28, 2002

Quantitative prediction of liquid chromatography retention of N-benzylideneanilines based on quantum chemical parameters and radial basis function neural networkY H Xiang, M C Liu, X Y Zhang, et al.

SAR and QSAR in Environmental Research|February 7, 2003

Docking study of cistanoside C to telomeric DNA fragmentO Delalande, K Gao, B T Fan, et al.

Journal of Chemical Information and Computer Sciences|July 27, 2004

Comparative study of QSAR/QSPR correlations using support vector machines, radial basis function neural networks, and multiple linear regressionX J Yao, A Panaye, J P Doucet, et al.

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Showing results (11-20 of 13) with videos related to

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You have reached the last page of results.This site can display upto 13 results.

Journal of Chemical Information and Computer Sciences|June 28, 2002

Quantitative prediction of liquid chromatography retention of N-benzylideneanilines based on quantum chemical parameters and radial basis function neural networkY H Xiang, M C Liu, X Y Zhang, et al.

SAR and QSAR in Environmental Research|February 7, 2003

Docking study of cistanoside C to telomeric DNA fragmentO Delalande, K Gao, B T Fan, et al.

Journal of Chemical Information and Computer Sciences|July 27, 2004

Comparative study of QSAR/QSPR correlations using support vector machines, radial basis function neural networks, and multiple linear regressionX J Yao, A Panaye, J P Doucet, et al.

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