DEEPred: Automated Protein Function Prediction with Multi-task Feed-forward Deep Neural Networks

Automated protein function prediction is critical for the annotation of uncharacterized protein sequences, where accurate prediction methods are still required. Recently, deep learning based methods have outperformed conventional algorithms in computer vision and natural language processing due to t...

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Detalles Bibliográficos
Autores principales: Sureyya Rifaioglu, Ahmet, Doğan, Tunca, Jesus Martin, Maria, Cetin-Atalay, Rengul, Atalay, Volkan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6517386/
https://www.ncbi.nlm.nih.gov/pubmed/31089211
http://dx.doi.org/10.1038/s41598-019-43708-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6517386/
https://www.ncbi.nlm.nih.gov/pubmed/31089211
http://dx.doi.org/10.1038/s41598-019-43708-3

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