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Learned protein embeddings for machine learning
MOTIVATION: Machine-learning models trained on protein sequences and their measured functions can infer biological properties of unseen sequences without requiring an understanding of the underlying physical or biological mechanisms. Such models enable the prediction and discovery of sequences with...
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| Опубликовано в: : | Bioinformatics |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Oxford University Press
2018
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6061698/ https://ncbi.nlm.nih.gov/pubmed/29584811 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty178 |
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