The rankings of observed induction responses (ascending by trise) and predicted regulator relationships (descending by regression coefficient magnitude) were used to predict edges in multiple published networks (Costanzo 2016 and YeastNet v.3). All non-zero ODE regression coefficients were split into two classes, measured (predicted regulators with an induction experiment) and latent (predicted regulators without an induction experiment). A. ROC curves are shown treating interactions, which overlap with the query edges (non-zero regression coefficients), as positives and all other entries as negatives. 