CodonBERT: Using BERT for Sentiment Analysis to Better Predict Genes with Low Expression
Author:
Affiliation:
1. Department of Computer Science, University of Tennessee, Knoxville, Tennessee, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3584371.3613013
Reference31 articles.
1. Ashley Babjac , Jun Li , and Scott Emrich . 2021 . Fine-Grained Synonymous Codon Usage Patterns and their Potential Role in Functional Protein Production . In 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2187--2193 . Ashley Babjac, Jun Li, and Scott Emrich. 2021. Fine-Grained Synonymous Codon Usage Patterns and their Potential Role in Functional Protein Production. In 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2187--2193.
2. J.L. Chaney A. Steele R. Carmichael A. Rodriguez A.T. Specht K. Ngo J. Li S. Emrich and P.L. Clark. 2017. Widespread position-specific conservation of synonymous rare codons within coding sequences. PLOS Computational Biology 13 5 (05 2017) 1--19. J.L. Chaney A. Steele R. Carmichael A. Rodriguez A.T. Specht K. Ngo J. Li S. Emrich and P.L. Clark. 2017. Widespread position-specific conservation of synonymous rare codons within coding sequences. PLOS Computational Biology 13 5 (05 2017) 1--19.
3. Large-scale analysis of conserved rare codon clusters suggests an involvement in co-translational molecular recognition events
4. KR1442 Chowdhary. 2020. Natural language processing. Fundamentals of artificial intelligence ( 2020 ), 603--649. KR1442 Chowdhary. 2020. Natural language processing. Fundamentals of artificial intelligence (2020), 603--649.
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