Divide-and-conquer: machine-learning integrates mammalian and viral traits with network features to predict virus-mammal associations

Divide-and-conquer: machine-learning integrates mammalian and viral traits with network features to predict virus-mammal associations

A more comprehensive map of viral host ranges can help identify and mitigate zoonotic and animal-disease risks. A divide-and-conquer approach which separates viral, mammalian and network features predicts over 20,000 unknown associations between known viruses and susceptible mammalian species.

Bibliographic Details
Main Authors: Maya Wardeh, Marcus S. C. Blagrove, Kieran J. Sharkey, Matthew Baylis
Format: Article
Language:English
Published: Nature Publishing Group 2021-06-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-24085-w

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