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1 Ergebnisse
1
CytoSet : predicting clinical outcomes via set-modeling ..:
, In:
Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics
,
Yi, Haidong
;
Stanley, Natalie
- p. 1-8 , 2021
Link:
https://dl.acm.org/doi/10.1145/3459930.3469529
RT T1 <cTitle>Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics</cTitle>: T1 <Title>CytoSet : predicting clinical outcomes via set-modeling of cytometry data</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3469529&Exemplar=1&LAN=DE A1 Yi, Haidong A1 Stanley, Natalie PB ACM YR 2021 K1 classification K1 clinical phenotyping K1 cytometry K1 deep learning K1 set modeling K1 single-cell K1 Applied computing K1 Life and medical sciences K1 Computational biology SP 1 OP 8 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3459930.3469529 DO https://dl.acm.org/doi/10.1145/3459930.3469529 SF ELIB - SuUB Bremen
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