Prediction of Oral Bioavailability in Rats: Transferring Insights from in Vitro Correlations to (Deep) Machine Learning Models Using in Silico Model Outputs and Chemical Structure Parameters - researchr publication

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Sebastian Schneckener, Sergio Grimbs, Jessica Hey, Stephan Menz, Maren Osmers, Steffen Schaper, Alexander Hillisch, Andreas H. Göller. Prediction of Oral Bioavailability in Rats: Transferring Insights from in Vitro Correlations to (Deep) Machine Learning Models Using in Silico Model Outputs and Chemical Structure Parameters. Journal of Chemical Information and Computer Sciences, 59(11):4893-4905, 2019. [doi]

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