An MLP-based feature subset selection for HIV-1 protease cleavage site analysis

Artificial Intelligence in Medicine

Volumn 48, Issue 2-3, 2010, Pages 83-89

  Kim, Gilhan ^a   Kim, Yeonjoo ^a   Lim, Heuiseok ^a   Kim, H ^a  

^a Korea University   (South Korea)

Author keywords

Dimension reduction; Feature selection; HIV 1 protease cleavage site prediction; Multi layered perceptron

Indexed keywords

DIMENSION REDUCTION; FEATURE SELECTION; HIV-1 PROTEASE; MULTI-LAYERED; PERCEPTRON;

CLASSIFICATION (OF INFORMATION); FORECASTING; SET THEORY; SITE SELECTION; VIRUSES;

FEATURE EXTRACTION;

VIRUS ENZYME;

ACCURACY; ANALYTIC METHOD; ARTICLE; CLASSIFICATION ALGORITHM; CONTROLLED STUDY; DATA ANALYSIS; DATA EXTRACTION; ENZYME ANALYSIS; HUMAN IMMUNODEFICIENCY VIRUS 1; INTERMETHOD COMPARISON; LEARNING ALGORITHM; NONHUMAN; NONLINEAR SYSTEM; PARTIAL LEAST SQUARES REGRESSION; PERCEPTRON; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; SEQUENCE ANALYSIS; VALIDATION PROCESS;

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DATA MINING; DATABASES, PROTEIN; HIV PROTEASE; MODELS, MOLECULAR; NONLINEAR DYNAMICS; PROTEIN CONFORMATION; PROTEIN STRUCTURE, TERTIARY; REPRODUCIBILITY OF RESULTS; STRUCTURE-ACTIVITY RELATIONSHIP; SUBSTRATE SPECIFICITY; SYSTEMS BIOLOGY; SYSTEMS INTEGRATION;

EID: 77951634085     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2009.07.010     Document Type: Article

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