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Practical Applications of Deep Learning to Imputation of Drug Discovery Data

Wednesday, 04 September 2019 15:03
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Benedict Irwin

Presented by Ben Irwin, on 28 August 2019 at the ACS National Meeting and Exposition in San Diego, USA

Presentation Overview

Problems with pharma data − Define solutions to these problems

Alchemite : A novel deep learning algorithm for imputation − Imputation = Filling in the blanks

Walkthrough deep learning imputation on a real project − Early screen data − Validation − Late stage models − Comparison with standard QSAR methods

Larger applications and future prospects


You can download the presentation slides as a PDF

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Last Updated on Wednesday, 04 September 2019 15:27  
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