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Inferring protein sequence-function relationships with large-scale positive-unlabeled learning
Machine learning can infer how protein sequence maps to function without requiring a detailed understanding of the underlying physical or biological mechanisms. It’s challenging to apply existing supervised learning frameworks to large-scale experimental data generated by deep mutational scanning (D...
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| 出版年: | Cell Syst |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7856229/ https://ncbi.nlm.nih.gov/pubmed/33212013 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cels.2020.10.007 |
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