Fig. 1.

Schematic overview of scMoC. scMoC clusters multimodal single-cell data based on scRNA-seq and scATAC-seq measurements from the same cell. It encompasses an RNA-guided imputation strategy to leverage the higher data sparsity of the scRNA-seq data (with respect to the scATAC-seq data). scMoC builds on the idea that cell–cell similarities can be better estimated from the RNA profiles and then used to define a neighborhood to impute from it the ATAC data, since these are comeasured from the same cell. After the imputation, the two modalities are clustered individually and then combined into one clustering in which RNA-based clusters are being split if there is enough evidence from the ATAC data