APA (7th ed.) Citation

M, W., MSC, B., KJ, S., & M, B. (2021). Divide-and-conquer: Machine-learning integrates mammalian and viral traits with network features to predict virus-mammal associations. Nature communications, 12(1), 3954. https://doi.org/10.1038/s41467-021-24085-w

Chicago Style (17th ed.) Citation

M, Wardeh, Blagrove MSC, Sharkey KJ, and Baylis M. "Divide-and-conquer: Machine-learning Integrates Mammalian and Viral Traits with Network Features to Predict Virus-mammal Associations." Nature Communications 12, no. 1 (2021): 3954. https://doi.org/10.1038/s41467-021-24085-w.

MLA (9th ed.) Citation

M, Wardeh, et al. "Divide-and-conquer: Machine-learning Integrates Mammalian and Viral Traits with Network Features to Predict Virus-mammal Associations." Nature Communications, vol. 12, no. 1, 2021, p. 3954, https://doi.org/10.1038/s41467-021-24085-w.