Benchmarking knowledge graph embedding models for the prediction of oligogenic combinations

Inas Bosch, Barbara Gravel, Alexandre Renaux, Ann Nowé, Maris Laan, Tom Lenaerts

Open source

DOI: 10.1093/bib/bbaf712
Published: 2026-01
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/bbaf712,
  title = {Benchmarking knowledge graph embedding models for the prediction of oligogenic combinations},
  author = {Inas Bosch and Barbara Gravel and Alexandre Renaux and Ann Nowé and Maris Laan and Tom Lenaerts},
  year = {2026},
  journal = {Briefings in Bioinformatics},
  doi = {10.1093/bib/bbaf712},
  url = {https://doi.org/10.1093/bib/bbaf712}
}

RIS

TY  - JOUR
TI  - Benchmarking knowledge graph embedding models for the prediction of oligogenic combinations
AU  - Inas Bosch
AU  - Barbara Gravel
AU  - Alexandre Renaux
AU  - Ann Nowé
AU  - Maris Laan
AU  - Tom Lenaerts
PY  - 2026
JO  - Briefings in Bioinformatics
DO  - 10.1093/bib/bbaf712
UR  - https://doi.org/10.1093/bib/bbaf712
ER  -

APA

Bosch, I., Gravel, B., Renaux, A., Nowé, A., Laan, M., & Lenaerts, T. (2026). Benchmarking knowledge graph embedding models for the prediction of oligogenic combinations. Briefings in Bioinformatics. https://doi.org/10.1093/bib/bbaf712

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crossref · retrieved 2026-09-25T14:05:32.019Z