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Unsupervised protein embeddings outperform hand-crafted sequence and structure features at predicting molecular function
MOTIVATION: Protein function prediction is a difficult bioinformatics problem. Many recent methods use deep neural networks to learn complex sequence representations and predict function from these. Deep supervised models require a lot of labeled training data which are not available for this task....
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8055213/ https://www.ncbi.nlm.nih.gov/pubmed/32797179 http://dx.doi.org/10.1093/bioinformatics/btaa701 |