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- W2364281632 abstract "Bioassay plays an important role in the studies of biology,medicine and toxicology. The time-dose-mortality model (TDM) widely applied to quantitative bioassay data analysis can not construct a unified model for complex bioassay data,and has the disadvantage of utilizing the information incompletely. Based on support vector regression (SVR),a novel quantitative bioassay model has been developed,which can construct a unified model for complex data with different test factors,different test objects and different environment factors. We compared the prediction performance between SVR and TDM using 14 simple data and 2 complex data. The results showed that SVR achieved better precision than TDM not only in self-consistency test but also in jackknife test,implying that the estimated values of LD50 and LT50 by the former are more reliable. As a useful supplement to TDM,SVR has the potential to be widely used for quantitative bioassay data analysis." @default.
- W2364281632 created "2016-06-24" @default.
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- W2364281632 date "2010-01-01" @default.
- W2364281632 modified "2023-09-25" @default.
- W2364281632 title "Bioassay data analysis based on support vector regression" @default.
- W2364281632 hasPublicationYear "2010" @default.
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