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Modeling the temporal evolution of the Drosophila gene expression

机译:模拟果蝇基因表达的时间演变

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The evolution of the gene expression pattern of Drosophila, from the embryonic to adult development phases, was studied on the basis of a microarray time series involving the expression levels of 4028 genes over 67 time-points. The genes presenting a similar temporal evolution of their expression levels were clustered together, so as to define a small number of representative classes. To model the network interactions responsible for the dynamic behavior of gene expression, a system of linear differential equations with constant coefficients was used. The parametric estimation of this model was performed in two stages: a first stage of linear parameter identification allowing an analytical approach to the solution, and a second stage of nonlinear parametric estimation which refines this solution. This model is shown to reproduce the experimental gene expression profiles with a fairly good precision.
机译:基于涉及67多个时间点的表达水平的微阵列时间序列,研究了果蝇从胚胎到成人发育阶段的果蝇的基因表达模式的演变。呈现其表达水平类似的时间演变的基因被聚集在一起,以便定义少数代表性等级。为了模拟负责基因表达动态行为的网络相互作用,使用了一种具有恒定系数的线性微分方程系统。该模型的参数估计在两个阶段执行:线性参数识别的第一阶段,允许解决方案的分析方法,以及改进该解决方案的非线性参数估计的第二阶段。该模型被证明以具有相当好的精度来再现实验基因表达谱。

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