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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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| Publicado no: | Cell Syst |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | 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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