AIBullisharXiv – CS AI · 10h ago6/10
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Towards Universal Gene Regulatory Network Inference: Unlocking Generalizable Regulatory Knowledge in Single-cell Foundation Models
Researchers introduce improved methods for Gene Regulatory Network (GRN) inference using single-cell foundation models, proposing Virtual Value Perturbation and Gradient Trajectory techniques to better extract regulatory knowledge. The work establishes a new benchmark for evaluating GRN predictions across unseen genes and datasets, demonstrating significant performance improvements over existing approaches.