Towards efficient and accurate sars-cov-2 genome sequence typing based on supervised learning approaches

HIGHLIGHTS

• who: Miao Miao 1 and collaborators from the Central South University, Changsha, China have published the research work: Towards Efficient and Accurate SARS-CoV-2 Genome Sequence Typing Based on Supervised Learning Approaches, in the Journal: Microorganisms 2022, 10, 1785. of 12/07/2022
• what: As shown in Figure 1, the proposed system in this study focuses on the rapid classification of SARS-CoV-2 genome sequences through supervised learning methods. Different from the previous work, the focus of this study is not to discover new evolutionary branches, but to provide a model with improved . . .
  

   

  

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