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DeepPhos: prediction of protein phosphorylation sites with deep learning
MOTIVATION: Phosphorylation is the most studied post-translational modification, which is crucial for multiple biological processes. Recently, many efforts have been taken to develop computational predictors for phosphorylation site prediction, but most of them are based on feature selection and dis...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6691328/ https://www.ncbi.nlm.nih.gov/pubmed/30601936 http://dx.doi.org/10.1093/bioinformatics/bty1051 |