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Representation learning applications in biological sequence analysis
Although remarkable advances have been reported in high-throughput sequencing, the ability to aptly analyze a substantial amount of rapidly generated biological (DNA/RNA/protein) sequencing data remains a critical hurdle. To tackle this issue, the application of natural language processing (NLP) to...
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| Veröffentlicht in: | Comput Struct Biotechnol J |
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| Hauptverfasser: | , , , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Research Network of Computational and Structural Biotechnology
2021
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8190442/ https://ncbi.nlm.nih.gov/pubmed/34141139 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csbj.2021.05.039 |
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