KekuleScope: prediction of cancer cell line sensitivity and compound potency using convolutional neural networks trained on compound images

1 code implementation • 22 Nov 2018 • Isidro Cortes Ciriano, Andreas Bender

We show that the predictive power of the generated models is comparable to that of Random Forest (RF) models and fully-connected Deep Neural Networks trained on circular (Morgan) fingerprints.

Drug Discovery Prediction Of Cancer Cell Line Sensitivity