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Robust Representation and Efficient Feature Selection Allows for Effective Clustering of SARS-CoV-2 Variants

2021-11-29

Abstract excerpt

The widespread availability of large amounts of genomic data on the SARS-CoV-2 virus, as a result of the COVID-19 pandemic, has created an opportunity for researchers to analyze the disease at a level of detail, unlike any virus before it. On the one hand, this will help biologists, policymakers, and other authorities to make timely and appropriate decisions to control the spread of the coronavirus. On the other h...

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Literature Corpus work
796b408e-1236-5349-be1a-32c937d609ad
DOI
10.3390/a14120348
Open publication

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Robust Representation and Efficient Feature Selection Allows for Effective Clustering of SARS-CoV-2 VariantsDOI 10.3390/a14120348
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