APA (7th ed.) Citation

Le Goallec, A., Tierney, B. T., Luber, J. M., Cofer, E. M., Kostic, A. D., & Patel, C. J. (2020). A systematic machine learning and data type comparison yields metagenomic predictors of infant age, sex, breastfeeding, antibiotic usage, country of origin, and delivery type. PLoS Computational Biology, 16(5), 1. https://doi.org/10.1371/journal.pcbi.1007895

Chicago Style (17th ed.) Citation

Le Goallec, Alan, Braden T. Tierney, Jacob M. Luber, Evan M. Cofer, Aleksandar D. Kostic, and Chirag J. Patel. "A Systematic Machine Learning and Data Type Comparison Yields Metagenomic Predictors of Infant Age, Sex, Breastfeeding, Antibiotic Usage, Country of Origin, and Delivery Type." PLoS Computational Biology 16, no. 5 (2020): 1. https://doi.org/10.1371/journal.pcbi.1007895.

MLA (9th ed.) Citation

Le Goallec, Alan, et al. "A Systematic Machine Learning and Data Type Comparison Yields Metagenomic Predictors of Infant Age, Sex, Breastfeeding, Antibiotic Usage, Country of Origin, and Delivery Type." PLoS Computational Biology, vol. 16, no. 5, 2020, p. 1, https://doi.org/10.1371/journal.pcbi.1007895.