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Feature Learning of Virus Genome Evolution With the Nucleotide Skip-Gram Neural Network
Recent studies reveal that even the smallest genomes such as viruses evolve through complex and stochastic processes, and the assumption of independent alleles is not valid in most applications. Advances in sequencing technologies produce multiple time-point whole-genome data, which enable potential...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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SAGE Publications
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6335656/ https://www.ncbi.nlm.nih.gov/pubmed/30692845 http://dx.doi.org/10.1177/1176934318821072 |