Benchmarking multi-omics integration algorithms across single-cell RNA and ATAC data.

ABSTRACT: Recent advancements in single-cell sequencing technologies have generated extensive omics data in various modalities and revolutionized cell research, especially in the single-cell RNA and ATAC data. The joint analysis across scRNA-seq data and scATAC-seq data has paved the way to comprehending the cellular heterogeneity and complex cellular regulatory networks. Multi-omics integration is gaining attention as an important step in joint analysis, and the number of computational tools in this field is growing rapidly. In this paper, we benchmarked 12 multi-omics integration methods on three integration tasks via qualitative visualization and quantitative metrics, considering six main aspects that matter in multi-omics data analysis. Overall, we found that different methods have their own adv

SUBMITTER: Xiao C 

PROVIDER: S-EPMC10944570 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature