UINMF performs mosaic integration of single-cell multi-omic datasets using nonnegative matrix factorization

Abstract

Single-cell genomic technologies present unique data integration challenges. Here the authors introduce an integrative nonnegative matrix factorization algorithm that incorporates features unshared between datasets when performing dataset integrations, improving integration results for spatial transcriptomic, cross-modality, and cross-species data.