RI-SINDy: Regulation-Informed Sparse Model Discovery in Biological Gene Networks
Nicholas J Lucenti, Majid Bani-Yaghoub
RI-SINDy improves sparse regression for gene network modeling by addressing multicollinearity in regulatory nonlinearities, achieving better coefficient recovery and trajectory accuracy in both experimental and synthetic data.
bioRxiv · Oct 6, 2026 · PreprintSystems Biology