Deep learning is used to accelerate the inference of genetic clusters, allowing the analysis of hundreds of thousands of human genomic datasets in a computationally efficient way.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 digital issues and online access to articles
$99.00 per year
only $8.25 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
Wright, S. Genetics 28, 114 (1943).
Mantes, A. D. Nat. Comput. Sci. https://doi.org/10.1038/s43588-023-00482-7 (2023).
Alexander, D. H., Novembre, J. & Lange, K. Genome Res. 19, 1655–1664 (2009).
Rumelhart, D. E. & McClelland, J. L. In Parallel Distributed Processing: Explorations in the Microstructure of Cognition: Foundations 318–362 (MIT Press, 1987).
Kramer, M. A. AIChE J. 37, 233–243 (1991).
Coop, G. Preprint at https://arxiv.org/abs/2207.11595 (2022).
Wang, C., Zöllner, S. & Rosenberg, N. A. PLoS Genet. 8, e1002886 (2012).
Bradburd, G. S., Coop, G. M. & Ralph, P. L. Genetics 210, 33–52 (2018).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The author declares no competing interests.
Rights and permissions
About this article
Cite this article
Smith, C.C.R. Machine learning speeds up genetic structure analysis. Nat Comput Sci 3, 580–581 (2023). https://doi.org/10.1038/s43588-023-00481-8
Published:
Issue Date:
DOI: https://doi.org/10.1038/s43588-023-00481-8