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Classification of COVID-19 and Other Pathogenic Sequences: A Dinucleotide Frequency and Machine Learning Approach
The world is grappling with the COVID-19 pandemic caused by the 2019 novel SARS-CoV-2. To better understand this novel virus and its relationship with other pathogens, new methods for analyzing the genome are required. In this study, intrinsic dinucleotide genomic signatures were analyzed for whole...
Formato: | Online Artículo Texto |
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Lenguaje: | English |
Publicado: |
IEEE
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675546/ https://www.ncbi.nlm.nih.gov/pubmed/34976561 http://dx.doi.org/10.1109/ACCESS.2020.3031387 |
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