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微分方程定义的基因调控网络的极大似然估计

Maximum Likelihood Estimation for a Gene Regulatory Network Defined by Differential Equations
课程网址: http://videolectures.net/pesb07_lalam_mle/  
主讲教师: Nadia Lalam
开课单位: 查尔姆斯理工大学
开课时间: 2007-04-04
课程语种: 英语
中文简介:
基因调控可以通过描述基因产物浓度的时间速率演变的一组确定性微分方程来描述,并且包含解释基因网络中发生的调节关系的参数。我们将提出这种形式主义中出现的参数的最大似然估计,我们将证明它们具有理想的性质。我们的结果可以应用于基因调控模型,其依赖于通过共聚焦激光扫描显微镜获得的基因表达数据的统计建模产生早期果蝇片段形成。所提出的统计模型解释了基因表达测量的不确定性和进行测量的时间的不确定性。
课程简介: Gene regulation may be described by a set of deterministic differential equations describing the time rate evolution of the gene product concentrations, and containing parameters accounting for the regulatory relationships occurring in the gene network. We will present maximum likelihood based estimators of the parameters arising in this formalism and we will prove that they have desirable properties. Our results may be applied to a gene regulation model yielding the early Drosophila segments formation relying on a statistical modelling of gene expression data obtained by confocal laser scanning microscopy. The proposed statistical model accounts for the uncertainty in the measurement of gene expression and the uncertainty in the time at which the measurements are performed.
关 键 词: 基因调控; 微分方程; 最大似然估计
课程来源: 视频讲座网
最后编审: 2019-09-13:lxf
阅读次数: 63