• DocumentCode
    1554487
  • Title

    Geno2pheno: interpreting genotypic HIV drug resistance tests

  • Author

    Beerenwinkel, Niko ; Lengauer, Thomas ; Selbig, Joachim ; Schmidt, Barbara ; Walter, Hauke ; Korn, Klaus ; Kaiser, Rolf ; Hoffmann, Daniel

  • Author_Institution
    Fraunhofer Inst for Algorithms & Sci. Comput., Frankfurt, Germany
  • Volume
    16
  • Issue
    6
  • fYear
    2001
  • Firstpage
    35
  • Lastpage
    41
  • Abstract
    This intelligent system uses information encoded in the HIV genomic sequence to predict the virus´s resistance or susceptibility to drugs. To make predictions, geno2pheno employs decision tree classifiers and support vector machines.
  • Keywords
    biology computing; decision trees; learning (artificial intelligence); learning automata; medical computing; microorganisms; patient treatment; sequences; HIV genomic sequence; decision tree classifiers; drug susceptibility; geno2pheno; genotypic HIV drug resistance test interpretation; intelligent system; support vector machines; Bioinformatics; Classification tree analysis; Decision trees; Drugs; Genomics; Human immunodeficiency virus; Intelligent systems; Machine intelligence; Support vector machines; Testing;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/5254.972080
  • Filename
    972080
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1554487