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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...
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| Pubblicato in: | PLoS One |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5995439/ https://ncbi.nlm.nih.gov/pubmed/29889900 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0198216 |
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