A wrapper-based feature selection method for ADMET prediction using evolutionary computing

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4973 LNCS, Issue , 2008, Pages 188-199

  Soto, Axel J ^a   Cecchini, Rocío L ^a   Vazquez, Gustavo E ^a   Ponzoni, Ignacio ^a  

^a UNIVERSIDAD NACIONAL DEL SUR   (Argentina)

Author keywords

Feature selection; Genetic algorithms; Hydrophobicity; QSAR

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; ARTIFICIAL INTELLIGENCE; BIOCOMMUNICATIONS; BIOINFORMATICS; DATA MINING; DECISION SUPPORT SYSTEMS; FUNCTION EVALUATION; INFORMATION MANAGEMENT; INFORMATION SCIENCE; KNOWLEDGE MANAGEMENT; LEARNING SYSTEMS; MATHEMATICAL MODELS; MINING; NEURAL NETWORKS; ROBOT LEARNING; SEARCH ENGINES;

CARDINALITY; CHEMOINFORMATICS; COMPREHENSIVE ANALYSIS; DATA SETS; DESCRIPTOR; DESCRIPTORS; EUROPEAN; EVOLUTIONARY APPROACHES; EVOLUTIONARY COMPUTATION (EC); EVOLUTIONARY COMPUTING; FITNESS FUNCTIONS; HEIDELBERG (CO); MACHINE-LEARNING; NON-LINEAR; PHYSICO-CHEMICAL PROPERTIES; PREDICTION MODELING; PROMISING TECHNIQUE; TARGET VALUE (T); WRAPPER BASED FEATURE SELECTION; WRAPPER METHODS;

FORECASTING;

EID: 47249089631     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-78757-0_17     Document Type: Conference Paper

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