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CodonBERT: Using BERT for Sentiment Analysis to Better Pred..:
, In:
Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics
,
Babjac, Ashley Nicole
;
Lu, Zhixiu
;
Emrich, Scott J
- p. 1-6 , 2023
Link:
https://dl.acm.org/doi/10.1145/3584371.3613013
RT T1 <cTitle>Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics</cTitle>: T1 <Title>CodonBERT: Using BERT for Sentiment Analysis to Better Predict Genes with Low Expression</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3613013&Exemplar=1&LAN=DE A1 Babjac, Ashley Nicole A1 Lu, Zhixiu A1 Emrich, Scott J PB ACM YR 2023 K1 CUB K1 expression K1 sentiment analysis K1 transformers K1 SHAP K1 Applied computing K1 Life and medical sciences K1 Computational biology K1 Computational genomics K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Learning latent representations K1 Artificial intelligence K1 Natural language processing K1 Information extraction SP 1 OP 6 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3584371.3613013 DO https://dl.acm.org/doi/10.1145/3584371.3613013 SF ELIB - SuUB Bremen
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