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MRBF: A Method for Predicting HIV-1 Drug Resistance

  • Anantaporn Srisawat
  • Boonserm Kijsirikul
Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 228)

Abstract

This paper presents the MRBF network, a new algorithm adapted from the RBF network, to construct the classifiers for predicting phenotypic resistance on 6 protease inhibitors. The performance of the prediction was measured by 10-fold cross-validation, The results show that MRBF gives the lowest average mean square error (MSE) when compared with the traditional RBF network and multiple linear regression analysis (REG). Moreover, it provides the best average predictive accuracy when compared with HIVdb, REG, and Support Vector Machines (SVM).

Key words

RBF Network RReliefF predicting HIV-1 drug resistance 

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Copyright information

© International Federation for Information Processing 2006

Authors and Affiliations

  • Anantaporn Srisawat
    • 1
  • Boonserm Kijsirikul
    • 1
  1. 1.Computer Engineering DepartmentChulalongkorn UniversityThailand

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