The dual-enhanced graph learning framework DePass allows paired data integration in single-cell and spatial multiomics.
- DOI
- 10.1038/s41556-026-02067-8
- Published
- 2026 Sep 24
- Container
- Nature cell biology
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41556-026-02067-8,
title = {The dual-enhanced graph learning framework DePass allows paired data integration in single-cell and spatial multiomics.},
author = {Li W and Jiang Y and Zhao Q and Xu Y and Dai D and Rong Y and Zhao X and Zhang H},
year = {2026},
journal = {Nature cell biology},
doi = {10.1038/s41556-026-02067-8},
url = {https://doi.org/10.1038/s41556-026-02067-8}
}RIS
TY - JOUR TI - The dual-enhanced graph learning framework DePass allows paired data integration in single-cell and spatial multiomics. AU - Li W AU - Jiang Y AU - Zhao Q AU - Xu Y AU - Dai D AU - Rong Y AU - Zhao X AU - Zhang H PY - 2026 JO - Nature cell biology DO - 10.1038/s41556-026-02067-8 UR - https://doi.org/10.1038/s41556-026-02067-8 ER -
APA
W, L., Y, J., Q, Z., Y, X., D, D., Y, R., X, Z., & H, Z. (2026). The dual-enhanced graph learning framework DePass allows paired data integration in single-cell and spatial multiomics.. Nature cell biology. https://doi.org/10.1038/s41556-026-02067-8
Source records
- pubmed · retrieved 2026-09-26T02:42:39.906Z