Modeling the toxicity of chemicals to tetrahymena pyriformis using heuristic multilinear regression and heuristic back-propagation neural networks

Journal of Chemical Information and Modeling

Volumn 47, Issue 6, 2007, Pages 2271-2279

  Kahn, Iiris ^a   Sild, Sulev ^a   Maran, Uko ^a  

^a UNIVERSITY OF TARTU   (Estonia)

Author keywords

[No Author keywords available]

Indexed keywords

HEURISTIC ALGORITHMS; MICROORGANISMS; NEURAL NETWORKS; REGRESSION ANALYSIS; TOXICITY;

MULTILINEAR REGRESSION (BMLR); QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP (QSAR); TETRAHYMENA PYRIFORMIS;

ORGANIC COMPOUNDS;

ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; DRUG EFFECT; DRUG TOXICITY; QUANTITATIVE STRUCTURE ACTIVITY RELATION; TETRAHYMENA PYRIFORMIS;

ANIMALS; DRUG TOXICITY; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; TETRAHYMENA PYRIFORMIS;

EID: 37249035097     PISSN: 15499596     EISSN: 1549960X     Source Type: Journal    
DOI: 10.1021/Ci700231c     Document Type: Article

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