Article

Metaviromic identification of genetic hotspots of coronavirus pathogenicity using machine learning

2020-08-14

Abstract excerpt

The COVID-19 pandemic caused by SARS-CoV-2 has become a major threat across the globe. Here, we developed machine learning approaches to identify key pathogenic regions in coronavirus genomes. We trained and evaluated 7,562,625 models on 3,665 genomes including SARS-CoV-2, MERS-CoV, SARS-CoV and other coronaviruses of human and animal origins to return quantitative and biologically interpretable signatures at nucl...

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Literature Corpus work: ac8a482f-d863-549c-bfaf-19b789ae2f4e
DOI: 10.1101/2020.08.13.248575

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