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Publication Detail
QSAR approach for mixture toxicity prediction using independent latent descriptors and fuzzy membership functions
  • Publication Type:
    Journal article
  • Publication Sub Type:
    Article
  • Authors:
    Mwense M, Wang XZ, Buontempo FV, Horan N, Young A, Osborn D
  • Publisher:
    TAYLOR & FRANCIS LTD
  • Publication date:
    01/02/2006
  • Pagination:
    53, 73
  • Journal:
    SAR AND QSAR IN ENVIRONMENTAL RESEARCH
  • Volume:
    17
  • Issue:
    1
  • Status:
    Published
  • Country:
    Shanghai, PEOPLES R CHINA
  • Print ISSN:
    1062-936X
  • Language:
    English
  • Keywords:
    Science & Technology, Physical Sciences, Technology, Life Sciences & Biomedicine, Chemistry, Multidisciplinary, Computer Science, Interdisciplinary Applications, Environmental Sciences, Mathematical & Computational Biology, Toxicology, Chemistry, Computer Science, Environmental Sciences & Ecology, mixture toxicity, mixture QSAR, ecotoxicity, environmental risk assessment, FIXED-POINT ALGORITHM, JOINT ALGAL TOXICITY, COMPONENT ANALYSIS, MOLECULAR DESCRIPTORS, ACTING CHEMICALS, PREDICTABILITY
  • Addresses:
    University of Leeds
    Sch Civil Engn
    Leeds
    W Yorkshire
    England
    LS2 9JT

    AstraZeneca UK Ltd
    Brixham Environm Lab
    Brixham
    Devon
    England
    TQ5 8BA

    Ctr Ecol & Hydrol
    Huntingdon
    England
    PE28 2LS
Abstract
No abstract found
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