Identification of clinically relevant hiv vif protein motif mutations through machine learning and undersampling

HIGHLIGHTS

• who: Josu00e9 Salomu00f3n Altamirano-Flores et al. from the Engineering Faculty, UASLP, San Potosu00ed, Mexico School of Computer Science, University of Birmingham, Birmingham , TT, UK have published the Article: Identification of Clinically Relevant HIV Vif Protein Motif Mutations Through Machine Learning and Undersampling, in the Journal: Cells 2023, 12, 772. of 28/Oct/2022
• what: This study provides an innovative approach for the and analysis of epidemiological associations between HIV Viral Infectivity Factor (Vif) protein mutations and four clinical endpoints (Viral load and CD4 T cell numbers at time of both clinical debut and on . . .
  

   

  

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