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...

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Detalles Bibliográficos
Autores principales: Aghazadeh, Amirali, Nisonoff, Hunter, Ocal, Orhan, Brookes, David H., Huang, Yijie, Koyluoglu, O. Ozan, Listgarten, Jennifer, Ramchandran, Kannan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
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

Internet

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

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