DeepASmRNA: Reference-free prediction of alternative splicing events with a scalable and interpretable deep learning model

Alternative splicing is crucial for a wide range of biological processes. However, limited by the availability of reference genomes, genome-wide patterns of alternative splicing remain unknown in most nonmodel organisms. We present an attention-based convolutional neural network model, DeepASmRNA, f...

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Detalles Bibliográficos
Autores principales: Cao, Lei, Zhang, Quanbao, Song, Hongtao, Lin, Kui, Pang, Erli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9619290/
https://www.ncbi.nlm.nih.gov/pubmed/36325068
http://dx.doi.org/10.1016/j.isci.2022.105345

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9619290/
https://www.ncbi.nlm.nih.gov/pubmed/36325068
http://dx.doi.org/10.1016/j.isci.2022.105345

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