Cite
Predicting antimicrobial mechanism-of-action from transcriptomes: A generalizable explainable artificial intelligence approach
MLA
Karen E. Nelson, et al. “Predicting Antimicrobial Mechanism-of-Action from Transcriptomes: A Generalizable Explainable Artificial Intelligence Approach.” PLoS Computational Biology, vol. 17, no. 3, July 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.....4fc18f9bd4bbf1adea9b33e614deabca&authtype=sso&custid=ns315887.
APA
Karen E. Nelson, Kirsten J. Meyer, Amy Spoering, William C. Nierman, Agnes P. Chan, Pavel Morales, Aubrie O’Rourke, Yongwook Choi, Christopher L. Dupont, Josh L. Espinoza, Kim Lewis, & Sinem Beyhan. (2020). Predicting antimicrobial mechanism-of-action from transcriptomes: A generalizable explainable artificial intelligence approach. PLoS Computational Biology, 17(3).
Chicago
Karen E. Nelson, Kirsten J. Meyer, Amy Spoering, William C. Nierman, Agnes P. Chan, Pavel Morales, Aubrie O’Rourke, et al. 2020. “Predicting Antimicrobial Mechanism-of-Action from Transcriptomes: A Generalizable Explainable Artificial Intelligence Approach.” PLoS Computational Biology 17 (3). 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.....4fc18f9bd4bbf1adea9b33e614deabca&authtype=sso&custid=ns315887.