FateDriver: Weakly supervised dual-view graph learning for transition-specific prioritization of candidate regulators in cellular reprogramming
Jieun Sung, Kyuwon Son, Hyuk‐Jin Cha, Tae Soo Kim, Haeseung Lee
FateDriver prioritizes candidate regulators for specific cellular transitions using a weakly supervised dual-view graph neural network, outperforming existing methods in recovering known regulators.
bioRxiv · Nov 1, 2026 · PreprintBioinformatics