Cite
MGATMDA: Predicting microbe-disease associations via multi-component graph attention network
MLA
Lei Deng, et al. “MGATMDA: Predicting Microbe-Disease Associations via Multi-Component Graph Attention Network.” IEEE/ACM Transactions on Computational Biology and Bioinformatics, Jan. 2021, p. 1. 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.....745d4c6f9ec8d576986364f379f63525&authtype=sso&custid=ns315887.
APA
Lei Deng, Luo Yi, Liu Junyi, Liu Dayun, & He Qihua. (2021). MGATMDA: Predicting microbe-disease associations via multi-component graph attention network. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 1.
Chicago
Lei Deng, Luo Yi, Liu Junyi, Liu Dayun, and He Qihua. 2021. “MGATMDA: Predicting Microbe-Disease Associations via Multi-Component Graph Attention Network.” IEEE/ACM Transactions on Computational Biology and Bioinformatics, January, 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.....745d4c6f9ec8d576986364f379f63525&authtype=sso&custid=ns315887.