PEPR-GNN: Perturbation-Enhancer-Promoter-RNA Graph Neural Networks for Multiome Perturb-Seq modeling of regulomes
Zachary Markham, Boxun Li, Landon Vu Nguyen, L H Wang, Nikhil V Munshi, Gary C. Hon
The paper introduces PEPR-GNN, a graph neural network framework to model regulome responses during genetic perturbations using Multiome Perturb-Seq data.
bioRxiv · May 6, 2026 · PreprintGenomics