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1 Ergebnisse
1
Improving Protein Function Annotation via Unsupervised Pre-..:
, In:
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
,
Dohan, David
;
Gane, Andreea
;
Bileschi, Maxwell L.
.. - p. 2782-2791 , 2021
Link:
https://dl.acm.org/doi/10.1145/3447548.3467163
RT T1 <cTitle>Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining</cTitle>: T1 <Title>Improving Protein Function Annotation via Unsupervised Pre-training: Robustness, Efficiency, and Insights</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3467163&Exemplar=1&LAN=DE A1 Dohan, David A1 Gane, Andreea A1 Bileschi, Maxwell L. A1 Belanger, David A1 Colwell, Lucy PB ACM YR 2021 K1 bert K1 bioinformatics K1 deep learning K1 neural networks K1 pfam K1 protein families K1 protein function annotation K1 unsupervised learning K1 Applied computing K1 Life and medical sciences K1 Bioinformatics K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks SP 2782 OP 2791 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3447548.3467163 DO https://dl.acm.org/doi/10.1145/3447548.3467163 SF ELIB - SuUB Bremen
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