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Journal of Chemical Information and Modeling|October 3, 2014
Computational derivation of structural alerts from large toxicology data setsErnst Ahlberg, Lars Carlsson, Scott BoyerJournal of Chemical Information and Modeling|November 3, 2009
A method for automated molecular optimization applied to Ames mutagenicity dataErnst Ahlberg Helgee, Lars Carlsson, Scott BoyerJournal of Chemical Information and Modeling|October 15, 2009
Interpretation of nonlinear QSAR models applied to Ames mutagenicity dataLars Carlsson, Ernst Ahlberg Helgee, Scott BoyerJournal of Chemical Information and Modeling|March 12, 2010
Evaluation of quantitative structure-activity relationship modeling strategies: local and global modelsErnst Ahlberg Helgee, Lars Carlsson, Scott Boyer, et al.Journal of Chemical Information and Modeling|July 22, 2011
Integrated decision support for assessing chemical liabilitiesOla Spjuth, Martin Eklund, Ernst Ahlberg Helgee, et al.Mutagenesis|December 13, 2018
Predicting Ames Mutagenicity Using Conformal Prediction in the Ames/QSAR International Challenge ProjectUlf Norinder, Ernst Ahlberg, Lars CarlssonJournal of Chemical Information and Modeling|June 20, 2017
Applying Mondrian Cross-Conformal Prediction To Estimate Prediction Confidence on Large Imbalanced Bioactivity Data SetsJiangming Sun, Lars Carlsson, Ernst Ahlberg, et al.Molecular Informatics|August 2, 2016
Benchmarking Variable Selection in QSARMartin Eklund, Ulf Norinder, Scott Boyer, et al.Journal of Chemical Information and Modeling|May 7, 2014
Introducing conformal prediction in predictive modeling. A transparent and flexible alternative to applicability domain determinationUlf Norinder, Lars Carlsson, Scott Boyer, et al.Regulatory Toxicology and Pharmacology : RTP|January 7, 2015
Introducing conformal prediction in predictive modeling for regulatory purposes. A transparent and flexible alternative to applicability domain determinationUlf Norinder, Lars Carlsson, Scott Boyer, et al.Pageof 15