Asymmetric bagging and feature selection for activities prediction of drug molecules

BMC Bioinformatics

Volumn 9, Issue SUPPL. 6, 2008, Pages

  Li, Guo Zheng ^a   Meng, Hao Hua ^a   Lu, Wen Cong ^a   Yang, Jack Y ^b   Yang, Mary Qu ^c  

^a SHANGHAI UNIVERSITY   (China)

^b HARVARD MEDICAL SCHOOL   (United States)

^c NATIONAL HUMAN GENOME RESEARCH INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EMBEDDED FEATURE SELECTIONS; EXPERIMENTAL METHODS; MOLECULAR ACTIVITIES; NUMERICAL EXPERIMENTAL; PREDICTION ACCURACY; QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIP; RELEVANT FEATURES; SENSITIVITY VALUES;

ALGORITHMS; COMPUTATIONAL CHEMISTRY; MOLECULAR GRAPHICS; MOLECULES;

FORECASTING;

ANTIRETROVIRUS AGENT; DRUG;

ACCURACY; AREA UNDER THE CURVE; ARTICLE; CLASSIFICATION ALGORITHM; CONTROLLED STUDY; DRUG ACTIVITY; DRUG STRUCTURE; EMBEDDING; EXPERIMENTAL DESIGN; PREDICTION; QUANTITATIVE STRUCTURE ACTIVITY RELATION; REDUNDANCY ANALYSIS; SENSITIVITY ANALYSIS; SUPPORT VECTOR MACHINE; ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CHEMICAL MODEL; CHEMISTRY; COMPUTER SIMULATION; METHODOLOGY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; MODELS, CHEMICAL; PATTERN RECOGNITION, AUTOMATED; PHARMACEUTICAL PREPARATIONS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 47249093354     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-9-S6-S7     Document Type: Article

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