Gene-set analyses measure the association between a disease of interest and a “set" of genes related to a biological pathway. These analyses often incorporate gene network properties to account for differential contributions of each gene. We extend this concept further—defining gene contributions based on biophysical properties—by leveraging mathematical models of biology to predict the effects of genetic perturbations on a particular downstream function.

中文翻译：

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数学生物学基因组富集 (GEMB)


基因集分析测量感兴趣的疾病和与生物途径相关的一组基因之间的关联。这些分析通常结合基因网络特性来解释每个基因的差异贡献。我们进一步扩展这个概念——定义基因贡献基于生物物理特性——利用生物学数学模型来预测遗传扰动对特定下游功能的影响。