Cite
OperonSEQer: A set of machine-learning algorithms with threshold voting for detection of operon pairs using short-read RNA-sequencing data
MLA
Raga Krishnakumar, and Anne M. Ruffing. “OperonSEQer: A Set of Machine-Learning Algorithms with Threshold Voting for Detection of Operon Pairs Using Short-Read RNA-Sequencing Data.” PLoS Computational Biology, vol. 18, no. 1, Jan. 2022. 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.....7afa69cceceb53378ebb9703b84faa02&authtype=sso&custid=ns315887.
APA
Raga Krishnakumar, & Anne M. Ruffing. (2022). OperonSEQer: A set of machine-learning algorithms with threshold voting for detection of operon pairs using short-read RNA-sequencing data. PLoS Computational Biology, 18(1).
Chicago
Raga Krishnakumar, and Anne M. Ruffing. 2022. “OperonSEQer: A Set of Machine-Learning Algorithms with Threshold Voting for Detection of Operon Pairs Using Short-Read RNA-Sequencing Data.” PLoS Computational Biology 18 (1). 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.....7afa69cceceb53378ebb9703b84faa02&authtype=sso&custid=ns315887.