Figure 4
From: An empirical Bayesian approach for model-based inference of cellular signaling networks
Convergence of AMCMC algorithm. A contour plot of the Gelman-Rubin statistic (i.e., the z-axis equals the potential scale reduction factor -
) of the model predictions as a function of time (i.e., the y-axis) calculated as a function of the cumulative chain up to a specific AMCMC step (i.e., the x-axis). Three parallel chains were used to calculate the Gelman-Rubin statistics for the simulated (A) total ErbB1 expression, (B) phosphorylated form of ErbB1, (C) total cellular Grb2 bound to activated ErbB1, (D) percentage of total Grb2 bound to activated Shc, (E) percentage of total Sos bound to activated ErbB1, (F) phosphorylated form of Shc, (G) phosphorylated PLCγ-1, and (H) active Ras (RasGTP). Values less than 1.2 suggest convergence of the chains.