Dynamic Gene Regulatory Network Inference with Interpretable, Biophysically-Motivated Neural ODEs
Maggie Beheler-Amass, Chrisopher A Jackson, David Gresham, Richard Bonneau
This paper introduces in-CAHOOTTS, a neural ODE framework for inferring gene regulatory networks from dynamic single-cell data, showing it can predict gene expression and identify regulators in yeast responses to rapamycin and cell cycle progression.
bioRxiv · Sep 19, 2025 · PreprintSystems Biology