Abstract
Predicting Properties of Small Molecules with Kernel-Based Machine Learning Methods
Klaus-Robert Müller
Technische Universität Berlin
After briefly introducing the necessary Machine Learning ingredients, I will show several case studies where prediction methods have been successfully applied to chemical end points such as toxicity, water solubility, metabolic stabilty, PPAR-gamma activation.
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