Using fragment chemistry data mining and probabilistic neural networks in screening chemicals for acute toxicity to the fathead minnow

SAR and QSAR in Environmental Research

Volumn 15, Issue 4, 2004, Pages 293-309

  Niculescu, S P ^a   Atkinson, A ^b   Hammond, G ^b   Lewis, M ^b  

^a Place Vincent Massey ^*  (Canada)

^b ENVIRONMENT CANADA   (Canada)

Author keywords

Acute toxicity; Fathead minnow; Fragment chemistry data mining; Probabilistic neural network; QSAR validation

Indexed keywords

BAYESIAN NETWORKS; COMPUTATIONAL CHEMISTRY; INDUSTRIAL CHEMICALS; NEURAL NETWORKS; ORGANIC CHEMICALS; TOXICITY;

ACUTE TOXICITY; FATHEAD MINNOW; FRAGMENT CHEMISTRY DATA MINING; GAUSSIAN KERNELS; HIGH-THROUGHPUT; NEURAL-NETWORKS; PROBABILISTIC NEURAL NETWORK; PROBABILISTICS; QSAR VALIDATION; VIRTUAL SCREENING;

DATA MINING;

ANIMALIA; CYPRINIFORMES; PHOXINUS PHOXINUS; PIMEPHALES; PIMEPHALES PROMELAS;

EID: 3242697755     PISSN: 1062936X     EISSN: None     Source Type: Journal    
DOI: 10.1080/10629360410001724941     Document Type: Article

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