Integrative relational machine-learning for understanding drug side-effect profiles

BMC Bioinformatics

Volumn 14, Issue 1, 2013, Pages

  Bresso, Emmanuel ^a,b   Grisoni, Renaud ^b   Marchetti, Gino ^b,c   Karaboga, Arnaud Sinan ^b   Souchet, Michel ^b   Devignes, Marie Dominique ^b,c   Smaïl Tabbone, Malika ^a,b  

^a UNIVERSITÉ DE LORRAINE   (France)

^b INRIA   (France)

^c LORIA   (France)

Author keywords

Data integration; Data mining; Drug discovery; Drug side effects; Relational machine learning

Indexed keywords

BACK-GROUND KNOWLEDGE; CHEMICAL AND BIOLOGICALS; DRUG DISCOVERY; DRUG SIDE-EFFECTS; FUNCTIONAL ANNOTATION; LEARNING EFFICIENCY; MAXIMAL FREQUENT ITEMSETS; SEMANTIC SIMILARITY MEASURES;

DATA INTEGRATION; DATA MINING; DECISION TREES; DRUG PRODUCTS; FORESTRY; LEARNING SYSTEMS; LOGIC PROGRAMMING;

DRUG INTERACTIONS;

DATA; DECISION MAKING; FORESTRY; INTEGRATION; TREES;

ADVERSE DRUG REACTION; ARTICLE; ARTIFICIAL INTELLIGENCE; BIOLOGY; DECISION TREE; DRUG DATABASE; METHODOLOGY; REPRODUCIBILITY;

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL BIOLOGY; DATABASES, PHARMACEUTICAL; DECISION TREES; DRUG-RELATED SIDE EFFECTS AND ADVERSE REACTIONS; REPRODUCIBILITY OF RESULTS;

EID: 84879426876     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-14-207     Document Type: Article

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