Publications and Presentations

Practical Applications of Deep Learning to Imputation of Drug Discovery Data

Practical Applications of Deep Learning to Imputation of Drug Discovery Data

Sep 4, 2019

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