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Classification of SARS-CoV-2 and non-SARS-CoV-2 using machine learning algorithms
Due to the continued evolution of the SARS-CoV-2 pandemic, researchers worldwide are working to mitigate, suppress its spread, and better understand it by deploying digital signal processing (DSP) and machine learning approaches. This study presents an alignment-free approach to classify the SARS-Co...
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| Pubblicato in: | Comput Biol Med |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier Ltd.
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8294595/ https://ncbi.nlm.nih.gov/pubmed/34329865 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.compbiomed.2021.104650 |
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