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Journal of Molecular Graphics & Modelling|May 18, 2005
Assessing the reliability of a QSAR model's predictionsLinnan He, Peter C JursChemical Research in Toxicology|December 19, 2003
Predicting the genotoxicity of polycyclic aromatic compounds from molecular structure with different classifiersLinnan He, Peter C Jurs, Laura L Custer, et al.Chemical Research in Toxicology|March 22, 2005
Probabilistic neural network multiple classifier system for predicting the genotoxicity of quinolone and quinoline derivativesLinnan He, Peter C Jurs, Constantine Kreatsoulas, et al.Journal of Chemical Information and Computer Sciences|July 27, 2004
Development of QSAR models to predict and interpret the biological activity of artemisinin analoguesRajarshi Guha, Peter C JursJournal of Chemical Information and Computer Sciences|November 24, 2004
Development of linear, ensemble, and nonlinear models for the prediction and interpretation of the biological activity of a set of PDGFR inhibitorsRajarshi Guha, Peter C JursJournal of Chemical Information and Modeling|June 1, 2005
Interpreting computational neural network QSAR models: a measure of descriptor importanceRajarshi Guha, Peter C JursJournal of Chemical Information and Modeling|January 26, 2005
Determining the validity of a QSAR model--a classification approachRajarshi Guha, Peter C JursJournal of Molecular Graphics & Modelling|January 25, 2003
Prediction of dihydrofolate reductase inhibition and selectivity using computational neural networks and linear discriminant analysisBrian E Mattioni, Peter C JursJournal of Chemical Information and Computer Sciences|March 26, 2002
Prediction of glass transition temperatures from monomer and repeat unit structure using computational neural networksBrian E Mattioni, Peter C JursJournal of Chemical Information and Computer Sciences|November 26, 2002
QSAR/QSPR studies using probabilistic neural networks and generalized regression neural networksPhilip D Mosier, Peter C JursPageof 3