ScBridge embraces cell heterogeneity in single-cell RNA-seq and ATAC-seq data integration.

ABSTRACT: Single-cell multi-omics data integration aims to reduce the omics difference while keeping the cell type difference. However, it is daunting to model and distinguish the two differences due to cell heterogeneity. Namely, even cells of the same omics and type would have various features, making the two differences less significant. In this work, we reveal that instead of being an interference, cell heterogeneity could be exploited to improve data integration. Specifically, we observe that the omics difference varies in cells, and cells with smaller omics differences are easier to be integrated. Hence, unlike most existing works that homogeneously treat and integrate all cells, we propose a multi-omics data integration method (dubbed scBridge) that integrates cells in a heterogeneous manner.

SUBMITTER: Li Y 

PROVIDER: S-EPMC10539354 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature