A Physics-Inspired Classical Digital Twin of the Cell: A Composite Multi-Clock Port-Hamiltonian Neural Network Learned from Multi-Omic Circadian Data
The paper develops a physics-inspired digital twin of the cell using a multi-clock port-Hamiltonian neural network trained on multi-omic circadian data, showing aggregate phase lag agreement but no per-gene correlation.
bioRxiv · Aug 5, 2026 · PreprintCell Biology