Modeling single cell trajectory using forward-backward stochastic differential equations
Fig 4
Performances on a human embryonic stem cells dataset.
Fig 4a) Gene expression profiles of single cells are reduced to two dimensions using the PHATE method. The data correspond to a total of 10 time points over 27 days at 3 days intervals. The time points are color coded on a spectrum from red to deep blue. Fig 4b-d) Trajectory inference by three different methods (Waddington-OT, TrajectoryNet and FBSDE). In each experiment, a total of 200 equally spaced time points are added between the starting and end time points. As can be seen, FBSDE provides a trajectory most resembling the ground truth in Fig 4a.