Reconstructing noisy gene regulation dynamics using extrinsic-noise-driven neural stochastic differential equations
Fig 8
Workflow of reconstructing experimental data via END-nSDE.
Workflow for reconstructing experimental data using the trained parameterized nSDE and the parameter-inference neural network (NN). The boxes on the left outline the steps of the experimental data reconstruction process, while the boxes on the right illustrate the corresponding results at each step.