Leveraging high-throughput screening data, deep neural networks, and conditional generative adversarial networks to advance predictive toxicology
Fig 8
Model consensus on chemical activity.
(A)Venn diagram showing the overlap between true active chemicals and chemicals predicted to be active by either Go-ZT or GAN-ZT. (B) A confusion matrix showing the performance of the combined Go-ZT and GAN-ZT models using the test dataset.