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High-throughput deep learning variant effect prediction with Sequence UNET
Understanding coding mutations is important for many applications in biology and medicine but the vast mutation space makes comprehensive experimental characterisation impossible. Current predictors are often computationally intensive and difficult to scale, including recent deep learning models. We...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10169183/ https://www.ncbi.nlm.nih.gov/pubmed/37161576 http://dx.doi.org/10.1186/s13059-023-02948-3 |