Diagonal integration of multimodal single-cell data: potential pitfalls and paths forward.
Where this comes from
- Record sourced from PubMed, PMID 35717437.
- Also identified by DOI 10.1038/s41467-022-31104-x and PMC identifier 9206644.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Diagonal integration of multimodal single-cell data emerges as a trending topic. However, empowering diagonal methods for novel biological discoveries requires bridging huge gaps. Here, we comment on potential risks and future directions of diagonal integration for multimodal single-cell data.