2026
Interpretable Neural ODEs for Gene Regulatory Network Discovery under Perturbations
ICML 2026poster
Modern high-throughput biological datasets containing thousands of perturbations enable large-scale discovery of causal graphs that represent regulatory interactions between genes. Differentiable causal graphical models and regression-based methods have been developed to infer gene regulatory networ…