Figure 9.

Pre-processing of experimental data for ADAPT. The experimental data consists of time course, longitudinal data obtained at multiple, discrete points in time, describing the transition of the biological system. In (A), the black error bars represent mean and standard deviation of the data at each point in time. A time continuous description of the data is obtained by spline interpolation. To account for experimental and biological uncertainties, a Monte Carlo approach is used. The data is randomly sampled assuming a data error model based on Gaussian distributions with means and standard deviations according to the experimental data (A; blue circles). A cubic smoothing spline (B; green line) is fitted through these samples. This process is repeated, obtaining a collection of splines (C).