Figure 1
Principle of the method. The initial data matrix is analyzed. Each gene associated to at least one missing value (in pink) is excluded given a Reference matrix without any missing value. Then missing values are simulated (in red) with a fixed rate Ï„. This rate Ï„ goes from 0.5% to 50% of missing values by step of 0.5%. 100 independent simulations are done each time. Missing values are then imputed (in blue) for each simulations by the selected methods. RMSE is computed between the estimated values of missing values and their true values.