首页> 外文期刊>Mutation Research: International Journal on Mutagenesis, Chromosome Breakage and Related Subjects >Use of log-linear analysis to construct explanatory models for TDBP- and AFB1-induced mutation spectra in lacI transgenic animals.
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Use of log-linear analysis to construct explanatory models for TDBP- and AFB1-induced mutation spectra in lacI transgenic animals.

机译:使用对数线性分析构建lacI转基因动物中TDBP和AFB1诱导的突变谱的解释模型。

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摘要

Mutation spectra recovered from lacI transgenic animals exposed in separate experiments to tris-(2,3-dibromopropyl)phosphate (TDBP) or aflatoxin B1 (AFB1) were examined using log-linear analysis. Log-linear analysis is a categorical procedure that analyses contingency table data. Expected contingency table cell counts are estimated by maximum likelihood as effects of main variables and variable interactions. Evaluation of hierarchical models of decreasing complexity indicates when significant explanatory power is lost by the sequential omission of interactions between variables. Use of this technique allows construction of the most parsimonious models to account for mutation spectra obtained in the two experiments. The resulting statistical models are consistent with previous analyses of these data and with biological explanations for causes of the observed spectra. Copyright 1999 Elsevier Science B.V.
机译:使用对数线性分析检查了在分别实验中暴露于三-(2,3-二溴丙基)磷酸酯(TDBP)或黄曲霉毒素B1(AFB1)的lacI转基因动物中回收的突变谱。对数线性分析是一种分析列联表数据的分类过程。预期的列联表单元格计数是通过最大似然作为主要变量和变量交互作用的影响来估计的。递减的复杂性的层次模型的评估表明,由于变量之间的交互顺序丢失而使重要的解释能力丧失时。使用此技术可以构建最简化的模型,以说明两次实验中获得的突变谱。所得的统计模型与这些数据的先前分析以及观察到的光谱原因的生物学解释相符。版权所有1999 Elsevier Science B.V.

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