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Incorporating temporal dynamics of mutations to enhance the prediction capability of antiretroviral therapy's outcome for HIV-1.

Giulia Di TeodoroMartin PirklFrancesca IncardonaIlaria VicentiAnders SönnerborgRolf KaiserLaura PalagiMaurizio ZazziThomas Lengauer
Published in: Bioinformatics (Oxford, England) (2024)
This analysis was conducted using the Euresist Integrated DataBase (EIDB). For further validation, we encourage reproducing this study with the latest release of the EIDB, which can be accessed upon request through the Euresist Network.
Keyphrases
  • antiretroviral therapy
  • hiv infected
  • hiv positive
  • human immunodeficiency virus
  • hiv aids
  • hiv infected patients
  • hepatitis c virus
  • hiv testing
  • men who have sex with men
  • south africa
  • adverse drug
  • network analysis