Understanding transcriptional responses to chemical perturbations is crucial for drug discovery. Here, authors present PRnet, a deep generative model that predicts gene responses to novel chemical perturbations, enabling in-silico drug screening and the identification of candidate compounds for various diseases.
- Xiaoning Qi
- Lianhe Zhao
- Yi Zhao
