Regulatory network-based imputation of dropouts in single-cell RNA sequencing data
Fig 1
Imputation performance of Network (blue), DrImpute (green), kNN-smoothing (pink), SAVER (yellow), scImpute (turquoise), SCRABBLE (purple) and Ensemble (orange).
A) Distribution of average expression levels (per gene) in each dataset. Quartiles are represented by vertical lines. B) Pearson correlation coefficient, for each gene, between the imputation by the specified method and the original values before masking. Only values that could be imputed by all methods (non-zero imputation) were considered. Correlations per gene across cells were computed for all genes for which at least 10 imputation values were available for analysis. Expression quartiles were determined for each dataset separately, on the masked data.