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- W2041278361 abstract "A database of chronic lowest observed adverse effect levels (LOAELs) for 234 compounds, previously compiled from different sources (Toxicology Letters 79, 131–143 (1995)), was modelled using graph theoretical descriptors. This study reveals that data are not homogeneous. Only those data originating from the U.S. Environmental Protection Agency (EPA) reports could be well modelled by multilinear regression (MLR) and linear discriminant analysis (LDA). In contrast, data available from the specific procedures of the National Toxicology Program (NTP) database introduced noise and did not render good models either alone, or in combination with the EPA data." @default.
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- W2041278361 date "2005-06-01" @default.
- W2041278361 modified "2023-10-18" @default.
- W2041278361 title "Predictability and prediction of lowest observed adverse effect levels in a structurally heterogeneous set of chemicals" @default.
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- W2041278361 doi "https://doi.org/10.1080/10659360500036927" @default.
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