Cargando…
Predicting human protein function with multi-task deep neural networks
Machine learning methods for protein function prediction are urgently needed, especially now that a substantial fraction of known sequences remains unannotated despite the extensive use of functional assignments based on sequence similarity. One major bottleneck supervised learning faces in protein...
Autores principales: | Fa, Rui, Cozzetto, Domenico, Wan, Cen, Jones, David T. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5995439/ https://www.ncbi.nlm.nih.gov/pubmed/29889900 http://dx.doi.org/10.1371/journal.pone.0198216 |
Ejemplares similares
-
Using deep maxout neural networks to improve the accuracy of function prediction from protein interaction networks
por: Wan, Cen, et al.
Publicado: (2019) -
DEEPred: Automated Protein Function Prediction with Multi-task Feed-forward Deep Neural Networks
por: Sureyya Rifaioglu, Ahmet, et al.
Publicado: (2019) -
DISOPRED3: precise disordered region predictions with annotated protein-binding activity
por: Jones, David T., et al.
Publicado: (2015) -
Protein function prediction by massive integration of evolutionary analyses and multiple data sources
por: Cozzetto, Domenico, et al.
Publicado: (2013) -
Biomedical semantic indexing by deep neural network with multi-task learning
por: Du, Yongping, et al.
Publicado: (2018)