New paper accepted at NeurIPS 2022
Our paper titled Predicting single-cell perturbation responses for unseen drugs is now accepted as at NeurIPS 2022. In this we add chemical graph encoder to my previous work CPA to predict gene expression response to unseen drugs not observed during training. We additionally devised a transfer learning approach to leverage Bulk RNA-seq data to compensate for scarce data problems at the single-cell level which improve the prediction accuracy. Congrats to all collaborators.