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1 Ergebnisse
1
MKGSAGE: A Computational Framework via Multiple Kernel Fusi..:
, In:
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
,
Wang, Shuang
;
Liu, Jin-Xing
;
Liu, Bao-Min
... - p. 648-653 , 2023
Link:
https://doi.org/10.1109/BIBM58861.2023.10385527
RT T1 <cTitle>2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)</cTitle>: T1 <Title>MKGSAGE: A Computational Framework via Multiple Kernel Fusion on GraphSAGE for Inferring Potential Disease-Related Microbes</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10385527&Exemplar=1&LAN=DE A1 Wang, Shuang A1 Liu, Jin-Xing A1 Liu, Bao-Min A1 Dai, Ling-Yun A1 Li, Feng A1 Gao, Ying-Lian YR 2023 SN 2156-1133 K1 Sequential analysis K1 Laplace equations K1 Databases K1 Computational modeling K1 Semantics K1 Predictive models K1 Feature extraction K1 Microbe-disease associations K1 Graph sample and aggregate K1 Multiple kernel fusion K1 Dual Laplacian regularized least squares SP 648 OP 653 LK http://dx.doi.org/https://doi.org/10.1109/BIBM58861.2023.10385527 DO https://doi.org/10.1109/BIBM58861.2023.10385527 SF ELIB - SuUB Bremen
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