Deep learning for alternative splicing

<p>Mutations that affect RNA splicing can have severe phenotypic consequences, and contribute to rare and sporadic human disease. Whole-genome sequencing promises to improve diagnosis, but it is often difficult to identify mutations that disrupt splicing, except when they affect canonical dono...

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Detalles Bibliográficos
Autor principal: Brown, R
Otros Autores: Lunter, G
Formato: Tesis
Publicado: 2019