Neural networks for effect prediction in environmental and health issues using large datasets

QSAR and Combinatorial Science

Volumn 22, Issue 2, 2003, Pages 185-190

  Kaiser, Klaus L E ^a,b  

^a ENVIRONMENT CANADA   (Canada)

^b TerraBase Inc   (Canada)

Author keywords

Daphnia; Fish; Neural networks; Steroid receptor binding; Tetrahymena; Toxicity; Vibrio

Indexed keywords

FISH; MAMMALS;

ACUTE TOXICITY; DAPHNIA; LARGE DATASETS; NEURAL-NETWORKS; RECEPTOR BINDING; STEROID RECEPTOR BINDING; STEROID RECEPTORS; TETRAHYMENA; TOXICITY DATA; VIBRIO;

TOXICITY;

ACUTE TOXICITY; AQUATIC ENVIRONMENT; ARTIFICIAL NEURAL NETWORK; BACTERIUM; CONFERENCE PAPER; DATA ANALYSIS; ENVIRONMENTAL HEALTH; FISH; MODEL; NONHUMAN; PRIORITY JOURNAL; SPECIES DIFFERENCE; STRUCTURE ACTIVITY RELATION;

ANIMALIA; BACTERIA (MICROORGANISMS); CILIOPHORA; DAPHNIA; MAMMALIA; TETRAHYMENA; VIBRIO;

EID: 0038069350     PISSN: 1611020X     EISSN: None     Source Type: Journal    
DOI: 10.1002/qsar.200390010     Document Type: Conference Paper

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