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Journal of Chemical Information and Computer Sciences|January 11, 2000
Use of automatic relevance determination in QSAR studies using Bayesian neural networksF R Burden, M G Ford, D C Whitley, et al.Journal of Medicinal Chemistry|August 17, 1999
Robust QSAR models using Bayesian regularized neural networksF R Burden, D A WinklerChemical Research in Toxicology|June 20, 2000
A quantitative structure--activity relationships model for the acute toxicity of substituted benzenes to Tetrahymena pyriformis using Bayesian-regularized neural networksF R Burden, D A WinklerJournal of Chemical Information and Computer Sciences|October 25, 2000
Unsupervised forward selection: a method for eliminating redundant variablesD C Whitley, M G Ford, D J LivingstoneJournal of Molecular Graphics & Modelling|June 9, 2004
Selecting compounds for focused screening using linear discriminant analysis and artificial neural networksM G Ford, W R Pitt, D C WhitleySAR and QSAR in Environmental Research|May 20, 2008
QSAR studies using the parashift systemD J Livingstone, T Clark, M G Ford, et al.Journal of Molecular Modeling|December 17, 2008
Vicinity analysis: a methodology for the identification of similar protein active sitesA McGready, A Stevens, M Lipkin, et al.SAR and QSAR in Environmental Research|March 15, 2014
Modelling and predicting the biological effects of nanomaterialsD A Winkler, F R Burden, B Yan, et al.Journal of Chemical Information and Computer Sciences|June 21, 2001
Quantitative structure-activity relationship studies using Gaussian processesF R BurdenJournal of Chemical Information and Computer Sciences|February 14, 1998
Holographic neural networks as nonlinear discriminants for chemical applicationsF R BurdenPageof 4