Open AccessOn the comparison of artificial network and interpretation systems based on genotype resistance mutations in HIV-1-infected patients
Author(s) -
Philippe Flandre,
Dominique Costagliola
Publication year - 2006
Publication title -
aids
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.195
H-Index - 216
eISSN - 1473-5571
pISSN - 0269-9370
DOI - 10.1097/01.aids.0000247585.46567.2d
Subject(s) - interpretation (philosophy) , genotype , confusion , measure (data warehouse) , human immunodeficiency virus (hiv) , statistics , variable (mathematics) , linear regression , acquired resistance , drug resistance , computer science , computational biology , mathematics , medicine , genetics , biology , virology , psychology , data mining , gene , mathematical analysis , psychoanalysis , programming language
Comparing different genotypic interpretation systems is of interest to improve knowledge of the relationship between resistance mutations and virological response under a specific drug. The motivation for choosing a specific system should be based on comparison using appropriate statistical methods. There is some confusion as to the correct use of the linear regression model with its R(2) measure in this setting, especially when models using a single discrete variable are compared with a model using many variables.