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...
Main Author: | Brown, R |
---|---|
Other Authors: | Lunter, G |
Format: | Thesis |
Published: |
2019
|
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