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PUPPI: A pathway analysis method using protein-protein interaction network for case-control data

机译:PUPPI:一种使用蛋白质-蛋白质相互作用网络获取病例对照数据的途径分析方法

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The development of statistical pathway analysis methods has focused on testing individual main effects of genes in a pathway on disease. However, gene-gene interactions can also play an important role in complex disease etiology. We developed a pathway analysis method based on a protein-protein interaction network to account for gene-gene interactions in a pathway. We used simulations to evaluate the type I error and power for the method. Our simulation results suggest that the method has correct type I error rates, and can be powerful in the identification of the effects of gene-gene interaction in pathways under different scenarios. The method has been implemented into an efficient software package with C++.
机译:统计途径分析方法的发展集中在测试疾病途径中基因的个别主要作用。但是,基因与基因的相互作用也可以在复杂的疾病病因中起重要作用。我们开发了一种基于蛋白质-蛋白质相互作用网络的途径分析方法,以解决途径中的基因-基因相互作用。我们使用仿真来评估该方法的I类错误和功效。我们的仿真结果表明,该方法具有正确的I型错误率,可以有效地识别不同情况下途径中基因与基因相互作用的影响。该方法已用C ++实施为有效的软件包。

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