Reply to: Machine-learning prediction of hosts of novel coronaviruses requires caution as it may affect wildlife conservation.

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Title: Reply to: Machine-learning prediction of hosts of novel coronaviruses requires caution as it may affect wildlife conservation.
Authors: Blagrove MSC; Department of Evolution, Ecology, and Behaviour, Institute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Biosciences Building, Crown Street, Liverpool, L69 7ZB, UK. marcus.blagrove@liverpool.ac.uk., Baylis M; Department of Livestock and One Health, Institute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Liverpool Science Park IC2 Building, 146 Brownlow Hill, Liverpool, L3 5RF, UK.; Health Protection Research Unit in Emerging and Zoonotic Infections, University of Liverpool, Liverpool, L69 7BE, UK., Wardeh M; Department of Livestock and One Health, Institute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Liverpool Science Park IC2 Building, 146 Brownlow Hill, Liverpool, L3 5RF, UK. maya.wardeh@liverpool.ac.uk.; Department of Mathematical Sciences, University of Liverpool, Peach Street, Liverpool, L69 7ZL, UK. maya.wardeh@liverpool.ac.uk.
Source: Nature communications [Nat Commun] 2022 Sep 12; Vol. 13 (1), pp. 5102. Date of Electronic Publication: 2022 Sep 12.
Publication Type: Letter; Research Support, Non-U.S. Gov't; Comment
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2041-1723
DOI:10.1038/s41467-022-32747-6