Exploring the use of machine and deep learning in genome-wide association studies: a comprehensive review.

D'Antona S, Abdalla Abakar ME, Ramazzotti D, Antoniotti M, Graudenzi A

Open source

DOI
10.1186/s13040-026-00584-8
Published
2026 Jul 20
Container
BioData mining
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1186/s13040-026-00584-8,
  title = {Exploring the use of machine and deep learning in genome-wide association studies: a comprehensive review.},
  author = {D'Antona S and Abdalla Abakar ME and Ramazzotti D and Antoniotti M and Graudenzi A},
  year = {2026},
  journal = {BioData mining},
  doi = {10.1186/s13040-026-00584-8},
  url = {https://doi.org/10.1186/s13040-026-00584-8}
}

RIS

TY  - JOUR
TI  - Exploring the use of machine and deep learning in genome-wide association studies: a comprehensive review.
AU  - D'Antona S
AU  - Abdalla Abakar ME
AU  - Ramazzotti D
AU  - Antoniotti M
AU  - Graudenzi A
PY  - 2026
JO  - BioData mining
DO  - 10.1186/s13040-026-00584-8
UR  - https://doi.org/10.1186/s13040-026-00584-8
ER  - 

APA

S, D., ME, A. A., D, R., M, A., & A, G. (2026). Exploring the use of machine and deep learning in genome-wide association studies: a comprehensive review.. BioData mining. https://doi.org/10.1186/s13040-026-00584-8

Source records