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Enhanced semantic access to the protein engineering literature using ontologies populated by text mining.
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Demystifying Multi-Task Deep Neural Networks for Quantitative Structure-Activity Relationships.

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Demystifying Multi-Task Deep Neural Networks for Quantitative Structure-Activity Relationships.

J Chem Inf Model. 2017 Sep 05;:

Authors: Xu Y, Ma J, Liaw A, Sheridan RP, Svetnik V

Abstract Deep neural networks (DNNs) are complex computational models that have found great success in many artificial intelligence applications, such as computer vision and natural language processing.