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Deep learning of a bacterial and archaeal universal language of life enables transfer learning and illuminates microbial dark matter
Document ID
20230002652
Acquisition Source
2230 Support
Document Type
Accepted Manuscript (Version with final changes)
Authors
A. Hoarfrost ORCID(Rutgers, The State University of New Jersey New Brunswick, New Jersey, United States)
A. Aptekmann ORCID(Rutgers, The State University of New Jersey New Brunswick, New Jersey, United States)
G. Farfañuk (University of Buenos Aires Buenos Aires, Argentina)
Y. Bromberg ORCID(Rutgers, The State University of New Jersey New Brunswick, New Jersey, United States)
Date Acquired
February 27, 2023
Publication Date
May 11, 2022
Publication Information
Publication: Nature Communications
Publisher: Nature Research
Volume: 13
Issue Publication Date: May 11, 2022
ISSN: 2041-1723
DOI: 10.1038/s41467-022-30070-8
Subject Category
Life Sciences (General)
Funding Number(s)
CONTRACT_GRANT: 80NSSC18M0093
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review

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