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Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous ..:
, In:
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
,
Long, Yahui
;
Zhang, Yu
;
Wu, Min
... - p. 455-459 , 2020
Link:
https://doi.org/10.1109/BIBM49941.2020.9313472
RT T1 <cTitle>2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)</cTitle>: T1 <Title>Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9313472&Exemplar=1&LAN=DE A1 Long, Yahui A1 Zhang, Yu A1 Wu, Min A1 Peng, Shaoliang A1 Kwoh, Chee Keong A1 Luo, Jiawei A1 Li, Xiaoli YR 2020 K1 Drugs K1 Proteins K1 Viruses (medical) K1 Protein engineering K1 COVID-19 K1 Kernel K1 Databases K1 Drug K1 Heterogeneous graph attention networks K1 Association prediction SP 455 OP 459 LK http://dx.doi.org/https://doi.org/10.1109/BIBM49941.2020.9313472 DO https://doi.org/10.1109/BIBM49941.2020.9313472 SF ELIB - SuUB Bremen
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