ScConfluence: single-cell diagonal integration with regularized Inverse Optimal Transport on weakly connected features.

ABSTRACT: The abundance of unpaired multimodal single-cell data has motivated a growing body of research into the development of diagonal integration methods. However, the state-of-the-art suffers from the loss of biological information due to feature conversion and struggles with modality-specific populations. To overcome these crucial limitations, we here introduce scConfluence, a method for single-cell diagonal integration. scConfluence combines uncoupled autoencoders on the complete set of features with regularized Inverse Optimal Transport on weakly connected features. We extensively benchmark scConfluence in several single-cell integration scenarios proving that it outperforms the state-of-the-art. We then demonstrate the biological relevance of scConfluence in three applications. We predict s

SUBMITTER: Samaran J 

PROVIDER: S-EPMC11377776 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature