Prediction of mutagenic toxicity by combination of Recursive Partitioning and Support Vector Machines

Molecular Diversity

Volumn 11, Issue 2, 2007, Pages 59-72

  Liao, Quan ^a   Yao, Jianhua ^a   Yuan, Shengang ^a  

^a SHANGHAI INSTITUTE OF ORGANIC CHEMISTRY   (China)

Author keywords

Mutagenic toxicity; Prediction; Recursive Partitioning; Substructural descriptor; Support Vector Machines

Indexed keywords

AGRICULTURAL CHEMICAL;

ARTICLE; INTERMETHOD COMPARISON; MUTAGENIC ACTIVITY; PREDICTIVE VALIDITY; PRIORITY JOURNAL; RECURSIVE PARTITIONING METHOD; STRUCTURE ACTIVITY RELATION; SUPPORT VECTOR MACHINE; TOXICITY TESTING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DECISION TREES; MODELS, BIOLOGICAL; MODELS, THEORETICAL; MUTAGENICITY TESTS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 36148963273     PISSN: 13811991     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11030-007-9057-5     Document Type: Article

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