Predicting RNA splicing from DNA sequence using Pangolin

Recent progress in deep learning has greatly improved the prediction of RNA splicing from DNA sequence. Here, we present Pangolin, a deep learning model to predict splice site strength in multiple tissues. Pangolin outperforms state-of-the-art methods for predicting RNA splicing on a variety of pred...

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Detalles Bibliográficos
Autores principales: Zeng, Tony, Li, Yang I
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9022248/
https://www.ncbi.nlm.nih.gov/pubmed/35449021
http://dx.doi.org/10.1186/s13059-022-02664-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9022248/
https://www.ncbi.nlm.nih.gov/pubmed/35449021
http://dx.doi.org/10.1186/s13059-022-02664-4

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