PROJECT H

项目H

• 批准号: 8277495
• 负责人: Gary A Churchill
• 金额: $ 5.36万
• 依托单位: JACKSON LABORATORY
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-07-01 至 2016-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8277495
• 关键词: Animals; Biochemical; Biochemical Pathway; Biochemical Reaction; Biological Models; Complex; Computer Simulation; Data; Diet; Enzymes; Equation; Genetic; Genetic Models; Genome; Genotype; Glucose; Glycogen; Hybrids; Individual; Intervention; Knowledge; Lead; Methionine; Methods; Modeling; Molecular; Mus; Pathway interactions; Phenotype; Regulation; Simulate; Specific qualifier value; Structure; System; Systems Biology; Testing; Variant; base; biological systems; in vivo; intervention effect; mathematical model; model development; response

Project H: Causal Modeling of Genetic Systems; Gary A Churchill (Jackson) Mathematical modeling is a defining feature of systems biology. Of the many available approaches to modeling, graphical models [117; 118] are unique in their promise to reveal causal relationships and thus to predict response to perturbations based on the correlation structure of multivariate data. Directed graphical models can be inferred from genetic data using genotype as a causal anchor [119;120]. The questions posed here are whether these genotype-driven graphical models can make valid predictions of phenotype and to what extent do the inferred graphical structures reflect the underlying network of biochemical reactions.

项目H：遗传系统的因果建模;加里A丘吉尔（杰克逊） 数学建模是系统生物学的一个重要特征。在许多可用的方法中， 建模，图形模型[117; 118]是独一无二的，因为它们承诺揭示因果关系，从而预测 基于多变量数据的相关结构对扰动的响应。有向图模型 可以从遗传数据中推断，使用基因型作为因果锚[119;120]。这里提出的问题是 这些基因型驱动的图形模型是否可以有效预测表型，以及在多大程度上 推断出的图形结构是否反映了生化反应的基本网络。