Figure 4.

Predicted distributions from fluorescence trajectories with 200% noise using PFNC. (A) Protein-number probability distributions from “true” synthetic input trajectories (blue) and MaxCal trajectories using PFNC inference strategy (red). Comparisons between “true” and PFNC are also shown for (B) low-state and (C) high-state residence time probability distributions. The underlying Gillespie reaction rates are the same as those used in Table 3 and the extracted MaxCal parameters are a representative example from the 10 sets extracted to make the last row of Table 3. To see this figure in color, go online.