Fig. 2.

The two different approaches of masking of expression values. In A, each dimension of ${\mathbf{X}}_{\mathit{test}}$ is predicted using a separate model trained on ${\mathbf{X}}_{\mathit{train}}$. In B, a single model is used to predict all the values of the feature matrix