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Epistatic Net allows the sparse spectral regularization of deep neural networks for inferring fitness functions
Despite recent advances in high-throughput combinatorial mutagenesis assays, the number of labeled sequences available to predict molecular functions has remained small for the vastness of the sequence space combined with the ruggedness of many fitness functions. While deep neural networks (DNNs) ca...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8410946/ https://www.ncbi.nlm.nih.gov/pubmed/34471113 http://dx.doi.org/10.1038/s41467-021-25371-3 |