Use of Statistical and Neural Net Approaches in Predicting Toxicity of Chemicals

Journal of Chemical Information and Computer Sciences

Volumn 40, Issue 4, 2000, Pages 885-890

  Basak, Subhash C ^a   Grunwald, Gregory D ^a   Gute, Brian D ^a   Balasubramanian, Krishnan ^b   Opitz, David ^c  

^a UNIVERSITY OF MINNESOTA DULUTH   (United States)

^b ARIZONA STATE UNIVERSITY   (United States)

^c UNIVERSITY OF MONTANA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BENZENE DERIVATIVE;

ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMISTRY; CYPRINIFORMES; FACTUAL DATABASE; PHYSICAL CHEMISTRY; QUANTUM THEORY; STATISTICAL MODEL; STRUCTURE ACTIVITY RELATION; WATER POLLUTANT;

ANIMALS; BENZENE DERIVATIVES; CHEMISTRY, PHYSICAL; CYPRINIDAE; DATABASES, FACTUAL; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); QUANTUM THEORY; STRUCTURE-ACTIVITY RELATIONSHIP; WATER POLLUTANTS, CHEMICAL;

EID: 0034218972     PISSN: 00952338     EISSN: None     Source Type: Journal    
DOI: 10.1021/ci9901136     Document Type: Article

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