CelLink: integrating single-cell multi-omics data with weak feature linkage and imbalanced cell populations.

ABSTRACT: Single-cell multi-omics technologies capture complementary molecular layers, enabling a comprehensive view of cellular states and functions. However, integrating these data types poses significant challenges when their features are weakly linked and cell population sizes are imbalanced. Currently, no method efficiently addresses these two issues simultaneously. Therefore, we developed CelLink, a novel single-cell multi-omics data integration method designed to overcome these challenges. CelLink normalizes and smooths feature profiles to align scales across datasets and integrates them through a multi-phase pipeline that iteratively employs the optimal transport algorithm. It dynamically refines cell-cell correspondences, identifying and excluding cells that cannot be reliably matched, thus

SUBMITTER: Luo X 

PROVIDER: S-EPMC12818349 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature