Leveraging High-Throughput Screening Data and Conditional Generative Adversarial Networks to Advance Predictive Toxicology
Adrian J. Green, Martin J. Mohlenkamp, Jhuma Das, Meenal Chaudhari, Lisa Truong, Robyn L. Tanguay, David M. Reif
The paper uses a conditional GAN and toxicity data to predict chemical toxicity, achieving higher sensitivity than a regression model but lower specificity.
bioRxiv · Oct 2, 2020 · PreprintBioinformatics