Self-Supervised Representation Learning for Basecalling Nanopore Sequencing Data
Basecalling is a complex task that involves translating noisy raw electrical signals into their corresponding DNA sequences. Several deep learning architectures have been successful in improving basecalling accuracy, but all of them rely on a supervised training scheme and require large annotated da...
Gorde:
| Egile Nagusiak: | , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
IEEE
2024-01-01
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| Saila: | IEEE Access |
| Gaiak: | |
| Sarrera elektronikoa: | https://ieeexplore.ieee.org/document/10630797/ |
| Etiketak: |
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