Modeling time-dependent expected mean vectors of QTL genotypes and the structure of the within-subject residual covariance matrix are the essence for functional mapping QTL of dynamic traits.
拟合与时间相关的QTL基因型的期望均值向量和剩余误差的协方差矩阵是动态性状功能定位的核心内容。
Results Multilevel models can present the variance covariance metrics of two dependent variables in every levels, and make out the functional expresses of correlation coefficient with covariates.
结果双变量多水平模型可以估计各水平两个变量的方差协方差阵，据此可以计算出相关系数随协变量变化的函数式。
Results Multilevel models can present the variance covariance metrics of two dependent variables in every levels, and make out the functional expresses of correlation coefficient with covariates.
结果双变量多水平模型可以估计各水平两个变量的方差协方差阵，据此可以计算出相关系数随协变量变化的函数式。
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