TriTan: an efficient triple nonnegative matrix factorization method for integrative analysis of single-cell multiomics data.

ABSTRACT: Single-cell multiomics have opened up tremendous opportunities for understanding gene regulatory networks underlying cell states by simultaneously profiling transcriptomes, epigenomes, and proteomes of the same cell. However, existing computational methods for integrative analysis of these high-dimensional multiomics data are either computationally expensive or limited in interpretation. These limitations pose challenges in the implementation of these methods in large-scale studies and hinder a more in-depth understanding of the underlying regulatory mechanisms. Here, we propose TriTan (Triple inTegrative fast non-negative matrix factorization), an efficient joint factorization method for single-cell multiomics data. TriTan implements a highly efficient factorization algorithm, greatly imp

SUBMITTER: Ma X 

PROVIDER: S-EPMC11586128 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature