Biological networks are powerful resources for the discovery of genes and genetic modules that drive disease. Fundamental to network analysis is the concept that genes underlying the same phenotype tend to interact; this principle can be used to combine and to amplify signals from individual genes. Recently, numerous bioinformatic techniques have been proposed for genetic analysis using networks, based on random walks, information diffusion and electrical resistance. These approaches have been applied successfully to identify disease genes, genetic modules and drug targets. In fact, all these approaches are variations of a unifying mathematical machinery — network propagation — suggesting that it is a powerful data transformation method of broad utility in genetic research.

中文翻译：

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网络传播：遗传关联的通用放大器

生物网络是发现驱动疾病的基因和遗传模块的强大资源。网络分析的基本概念是，相同表型下的基因倾向于相互作用。该原理可用于合并和扩增来自单个基因的信号。最近，基于随机游走，信息扩散和电阻，已经提出了许多利用网络进行遗传分析的生物信息学技术。这些方法已成功应用于鉴定疾病基因，遗传模块和药物靶标。实际上，所有这些方法都是统一的数学机制（网络传播）的变体，表明这是一种在遗传研究中具有广泛用途的强大数据转换方法。