Variant-driven early warning via unsupervised machine learning analysis of spike protein mutations for covid-19

HIGHLIGHTS

• who: Adele de Hoffer from the CNRS University of have published the Article: Variant-driven early warning via unsupervised machine learning analysis of spike protein mutations for COVID-19, in the Journal: Scientific Reports Scientific Reports
• what: In the middle and bottom rows of Fig 2 the authors show the new monthly infections (per 100k inhabitants) and the frequencies of the cluster chains, which the authors identify as emerging variants in the following. In Fig 3C, the authors show the Alpha VoC percentage as function of time in weeks. The monthly analysis already identified this . . .
  

   

  

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