by Marina Chenery | Feb 14, 2019 | In Silico Modelling, Publications and presentations
This article describes a novel deep learning neural network method and its application for the imputation of assay pIC50 values. These deep learning methods underpin our Cerella™ technology, part of our Augmented Chemistry® suite. Summary In this study, the...
by Marina Chenery | Feb 7, 2019 | Cerella, Webinars
Using Deep Learning to Impute Protein Activity In this webinar, presented by Matt Segall (Optibrium) and Tom Whitehead (Intellegens), you can learn more about Alchemite™, a novel deep learning algorithm. Unlike many deep learning methods, this approach is capable of...