Machine learning scoring functions based on random forest and support vector regression

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

Volumn 7632 LNBI, Issue , 2012, Pages 14-25

  Ballester, Pedro J ^a  

^a EUROPEAN BIOINFORMATICS INSTITUTE   (United Kingdom)

Author keywords

chemical informatics; machine learning; molecular docking; scoring functions; structural bioinformatics

Indexed keywords

BINDING AFFINITIES; CHEMICAL BIOLOGY; CHEMICAL INFORMATICS; COMPUTATIONAL PREDICTIONS; DRUG DISCOVERY; EXPERIMENTAL CONDITIONS; FUNCTIONAL FORMS; INTERMOLECULAR INTERACTIONS; MACROMOLECULAR TARGETS; MOLECULAR DOCKING; RANDOM FORESTS; REGRESSION MODEL; SCORING FUNCTIONS; STRUCTURAL BIOINFORMATICS; STRUCTURAL BIOLOGY; STRUCTURAL DATA; STRUCTURE-BASED; SUPPORT VECTOR REGRESSION (SVR);

BINDING ENERGY; BIOINFORMATICS; DECISION TREES; FORECASTING; MOLECULAR MODELING; PATTERN RECOGNITION; REGRESSION ANALYSIS;

LEARNING SYSTEMS;

EID: 84868679998     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-34123-6_2     Document Type: Conference Paper

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