Spliceread: improving canonical and non-canonical splice site prediction with residual blocks and synthetic data augmentation
Abstract Accurate splice site prediction is fundamental to understanding gene expression and its associated disorders. However, most existing models are biased toward frequent canonical sites, limiting their ability to detect rare but biologically important non-canonical variants. These models often...
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| Автори: | , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
BMC
2026-05-01
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| Серія: | BMC Bioinformatics |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1186/s12859-026-06486-0 |
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