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SDImpute: A statistical block imputation method based on cell-level and gene-level information for dropouts in single-cell RNA-seq data

Fig 4

SDImpute improves the visualization of cell types in real datasets.

(A) PCA plots in raw data and SDImpute imputed data of the Camp dataset. (B) t-SNE plots in raw data and SDImpute imputed data of the Romanov dataset.

Fig 4

doi: https://doi.org/10.1371/journal.pcbi.1009118.g004