SpaHDSRL: hierarchical dual-graph self-supervised representation learning for integrating spatially resolved multi-omics data.

Li X, Zhang K, Li Y, Yan F, Li B, Ding Q

DOI: 10.1093/bib/bbag517
Published: 2026 Sep 1
Container: Briefings in bioinformatics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/bib/bbag517,
  title = {SpaHDSRL: hierarchical dual-graph self-supervised representation learning for integrating spatially resolved multi-omics data.},
  author = {Li X and Zhang K and Li Y and Yan F and Li B and Ding Q},
  year = {2026},
  journal = {Briefings in bioinformatics},
  doi = {10.1093/bib/bbag517},
  url = {https://doi.org/10.1093/bib/bbag517}
}

RIS

TY  - JOUR
TI  - SpaHDSRL: hierarchical dual-graph self-supervised representation learning for integrating spatially resolved multi-omics data.
AU  - Li X
AU  - Zhang K
AU  - Li Y
AU  - Yan F
AU  - Li B
AU  - Ding Q
PY  - 2026
JO  - Briefings in bioinformatics
DO  - 10.1093/bib/bbag517
UR  - https://doi.org/10.1093/bib/bbag517
ER  -

APA

X, L., K, Z., Y, L., F, Y., B, L., & Q, D. (2026). SpaHDSRL: hierarchical dual-graph self-supervised representation learning for integrating spatially resolved multi-omics data.. Briefings in bioinformatics. https://doi.org/10.1093/bib/bbag517

Source records

pubmed · retrieved 2026-09-24T18:49:15.631Z
europe-pmc · retrieved 2026-09-24T18:49:15.656Z