ScMoMaT jointly performs single cell mosaic integration and multi-modal bio-marker detection.

ABSTRACT: Single cell data integration methods aim to integrate cells across data batches and modalities, and data integration tasks can be categorized into horizontal, vertical, diagonal, and mosaic integration, where mosaic integration is the most general and challenging case with few methods developed. We propose scMoMaT, a method that is able to integrate single cell multi-omics data under the mosaic integration scenario using matrix tri-factorization. During integration, scMoMaT is also able to uncover the cluster specific bio-markers across modalities. These multi-modal bio-markers are used to interpret and annotate the clusters to cell types. Moreover, scMoMaT can integrate cell batches with unequal cell type compositions. Applying scMoMaT to multiple real and simulated datasets demonstrated

SUBMITTER: Zhang Z 

PROVIDER: S-EPMC9873790 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature