Unsupervised identification of significant lineages of SARS-CoV-2 through scalable machine learning methods. (2024)
Attributed to:
COVID-19 Modelling Consortium: quantitative epidemiological predictions in response to an evolving pandemic
funded by
COVID
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1073/pnas.2317284121
PubMed Identifier: 38478692
Publication URI: http://europepmc.org/abstract/MED/38478692
Type: Journal Article/Review
Volume: 121
Parent Publication: Proceedings of the National Academy of Sciences of the United States of America
Issue: 12
ISSN: 0027-8424