Fig. 1
From: An accurate and robust imputation method scImpute for single-cell RNA-seq data
A toy example illustrating the workflow in the imputation step of scImpute method. scImpute first learns each gene’s dropout probability in each cell by fitting a mixture model. Next, scImpute imputes the (highly probable) dropout values in cell j (gene set A j ) by borrowing information of the same gene in other similar cells, which are selected based on gene set B j (not severely affected by dropout events). The details are described in Eqs. (2) and (3)
