Cite
A systematic machine learning and data type comparison yields metagenomic predictors of infant age, sex, breastfeeding, antibiotic usage, country of origin, and delivery type
MLA
Evan M. Cofer, 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, May 2020. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi.dedup.....320d7e429de32323d1613e90dc6ffdec&authtype=sso&custid=ns315887.
APA
Evan M. Cofer, Braden T. Tierney, Chirag J. Patel, Aleksandar Kostic, Jacob M. Luber, & Alan Le Goallec. (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).
Chicago
Evan M. Cofer, Braden T. Tierney, Chirag J. Patel, Aleksandar Kostic, Jacob M. Luber, and Alan Le Goallec. 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). http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi.dedup.....320d7e429de32323d1613e90dc6ffdec&authtype=sso&custid=ns315887.