Using an unsupervised clustering model to detect the early spread of sars-cov-2 worldwide

HIGHLIGHTS

• who: Yawei Li and collaborators from the Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University have published the research: Using an Unsupervised Clustering Model to Detect the Early Spread of SARS-CoV-2 Worldwide, in the Journal: Genes 2022, 13, 648. of 15/05/2020
• what: This study provides different approach using clustering methods to study the population structure of never-seen-before and fast-growing species such as SARS-CoV-2. This study provides an example of using machine_learning algorithms to assist phylogenetic analysis, supporting the exploration of the spread of SARS . . .
  

   

  

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