Uncertainty-aware genomic classification of Alzheimer’s disease: a transformer-based ensemble approach with Monte Carlo dropout

Taeho Jo, Eun Hye Lee, Unknown

Open source

DOI: 10.1093/bib/bbaf587
Published: 2025-11-01
Container: Briefings in Bioinformatics
Publisher: Oxford University Press (OUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1093/bib/bbaf587,
  title = {Uncertainty-aware genomic classification of Alzheimer’s disease: a transformer-based ensemble approach with Monte Carlo dropout},
  author = {Taeho Jo and Eun Hye Lee and Unknown},
  year = {2025},
  journal = {Briefings in Bioinformatics},
  doi = {10.1093/bib/bbaf587},
  url = {https://doi.org/10.1093/bib/bbaf587}
}

RIS

TY  - JOUR
TI  - Uncertainty-aware genomic classification of Alzheimer’s disease: a transformer-based ensemble approach with Monte Carlo dropout
AU  - Taeho Jo
AU  - Eun Hye Lee
AU  - Unknown
PY  - 2025
JO  - Briefings in Bioinformatics
DO  - 10.1093/bib/bbaf587
UR  - https://doi.org/10.1093/bib/bbaf587
ER  -

APA

Jo, T., Lee, E. H., & Unknown (2025). Uncertainty-aware genomic classification of Alzheimer’s disease: a transformer-based ensemble approach with Monte Carlo dropout. Briefings in Bioinformatics. https://doi.org/10.1093/bib/bbaf587

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crossref · retrieved 2026-09-24T20:41:00.894Z