A Bayesian network model for predicting aquatic toxicity mode of action using two dimensional theoretical molecular descriptors

Aquatic Toxicology

Volumn 180, Issue , 2016, Pages 11-24

  Carriger, John F ^a   Martin, Todd M ^a   Barron, Mace G ^a  

^a U S ENVIRONMENTAL PROTECTION AGENCY   (United States)

Author keywords

Aquatic toxicity; Bayesian network; Chemical descriptors; Markov blanket; Mode of action

Indexed keywords

ACCURACY ASSESSMENT; BAYESIAN ANALYSIS; MARKOV CHAIN; MOLECULAR ANALYSIS; NETWORK ANALYSIS; NUMERICAL MODEL; TOXICITY; TOXICOLOGY;

AQUATIC TOXICITY; ARTICLE; BAYESIAN NETWORK MODEL; CHOLINESTERASE INHIBITION; ECOTOXICITY; ELECTRON TRANSPORT; MACHINE LEARNING; MEASUREMENT PRECISION; NEUROTOXICITY; PREDICTION; PRIORITY JOURNAL; RELIABILITY; SENSITIVITY ANALYSIS; ANIMAL; BAYES THEOREM; BIOLOGICAL MODEL; BIOLOGY; CHEMICAL MODEL; ECOTOXICOLOGY; FACTUAL DATABASE; MARKOV CHAIN; PROCEDURES; REPRODUCIBILITY; TOXICITY; WATER POLLUTANT;

ANIMALIA;

WATER POLLUTANT;

ANIMALS; BAYES THEOREM; COMPUTATIONAL BIOLOGY; DATABASES, FACTUAL; ECOTOXICOLOGY; MARKOV CHAINS; MODELS, BIOLOGICAL; MODELS, CHEMICAL; REPRODUCIBILITY OF RESULTS; WATER POLLUTANTS, CHEMICAL;

EID: 84987861861     PISSN: 0166445X     EISSN: 18791514     Source Type: Journal    
DOI: 10.1016/j.aquatox.2016.09.006     Document Type: Article

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