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Deep learning based on biologically interpretable genome representation predicts two types of human adaptation of SARS-CoV-2 variants

Explosively emerging SARS-CoV-2 variants challenge current nomenclature schemes based on genetic diversity and biological significance. Genomic composition-based machine learning methods have recently performed well in identifying phenotype–genotype relationships. We introduced a framework involving...

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Detalles Bibliográficos
Autores principales:	Li, Jing, Wu, Ya-Nan, Zhang, Sen, Kang, Xiao-Ping, Jiang, Tao
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2022
Materias:	Problem Solving Protocol
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9116219/ https://www.ncbi.nlm.nih.gov/pubmed/35233612 http://dx.doi.org/10.1093/bib/bbac036

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