TL-HDMR: a transfer learning framework for advancing equitable causal inference reveals metabolic signatures of stroke across multiple ancestries.
- DOI
- 10.1093/bib/bbag473
- Published
- 2026 Sep 1
- Container
- Briefings in bioinformatics
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1093/bib/bbag473,
title = {TL-HDMR: a transfer learning framework for advancing equitable causal inference reveals metabolic signatures of stroke across multiple ancestries.},
author = {Hou L and Zhou XH and Xue F and Chen H},
year = {2026},
journal = {Briefings in bioinformatics},
doi = {10.1093/bib/bbag473},
url = {https://doi.org/10.1093/bib/bbag473}
}RIS
TY - JOUR TI - TL-HDMR: a transfer learning framework for advancing equitable causal inference reveals metabolic signatures of stroke across multiple ancestries. AU - Hou L AU - Zhou XH AU - Xue F AU - Chen H PY - 2026 JO - Briefings in bioinformatics DO - 10.1093/bib/bbag473 UR - https://doi.org/10.1093/bib/bbag473 ER -
APA
L, H., XH, Z., F, X., & H, C. (2026). TL-HDMR: a transfer learning framework for advancing equitable causal inference reveals metabolic signatures of stroke across multiple ancestries.. Briefings in bioinformatics. https://doi.org/10.1093/bib/bbag473
Source records
- pubmed · retrieved 2026-09-25T02:09:34.649Z