Fig. 3
From: Enabling network inference methods to handle missing data and outliers
Results of the missing data comparative study. The results of the different methods are shown by rows: complete case analysis (CC), linear interpolation (LI), nearest neighbor algorithm (NN), mean imputation (MI), iterative algorithm (IA) and trimmed scores regression (TSR). By columns, the asterisks mark methods with a statistically worse performance, compared to TSR, in each percentage of missing values