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...

ver descrição completa

Detalhes bibliográficos
Autor principal: Brown, R
Outros Autores: Lunter, G
Formato: Thesis
Publicado em: 2019