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1
Predicting human microbe-disease associations based on mult..:
, In:
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
,
Wang, Haodong
;
Sun, Han
;
Wang, Yue
... - p. 840-843 , 2022
Link:
https://doi.org/10.1109/BIBM55620.2022.9995053
RT T1 <cTitle>2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)</cTitle>: T1 <Title>Predicting human microbe-disease associations based on multi-source heterogeneous graph representation learning model</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9995053&Exemplar=1&LAN=DE A1 Wang, Haodong A1 Sun, Han A1 Wang, Yue A1 Zhao, Weizhong A1 Jiang, Xingpeng A1 Shen, Xianjun YR 2022 K1 Training K1 Representation learning K1 Biological system modeling K1 Production K1 Predictive models K1 Feature extraction K1 Diabetes K1 microbe-disease association K1 heterogeneous graph K1 graph convolutional network K1 microbe interactions SP 840 OP 843 LK http://dx.doi.org/https://doi.org/10.1109/BIBM55620.2022.9995053 DO https://doi.org/10.1109/BIBM55620.2022.9995053 SF ELIB - SuUB Bremen
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