A primary goal of cancer systems biology is to build models of cell regulatory systems that can predict the impact of genetic changes that cause cancer and that can be used to design therapeutic strategies. Unfortunately, the great majority of current signaling models are mostly descriptive and lack the ability to predict responses across different cell types or the impact of gene copy number alterations. To address this critical capability gap, we have developed a measurement-modeling-perturbation ...