Fig. 6.

Visual distinguishability and comparison of scLRTC and other methods on simulation datasets with various dropout rates. We use t-SNE to visualize the cell gene expression matrix, and apply different algorithms for imputation. Each column represents a ds, which controls the ratio of zero