Miecznikowski Jeffrey C, Gaile Daniel P, Chen Xiwei, Tritchler David L
Stat Appl Genet Mol Biol. 2016 Mar;15(1):1-18. doi: 10.1515/sagmb-2015-0026.
It is often of scientific interest to find a set of genes that may represent an independent functional module or network, such as a functional gene expression module causing a biological response, a transcription regulatory network, or a constellation of mutations jointly causing a disease. In this paper we are specifically interested in identifying modules that control a particular outcome variable such as a disease biomarker. We discuss the statistical properties that functional networks should possess and introduce the concept of network consistency which should be satisfied by real functional networks of cooperating genes, and directly use the concept in the pathway discovery method we present. Our method gives superior performance for all but the simplest functional networks.
找到一组可能代表独立功能模块或网络的基因通常具有科学意义,例如引起生物反应的功能基因表达模块、转录调控网络或共同导致疾病的一组突变。在本文中,我们特别感兴趣的是识别控制特定结果变量(如疾病生物标志物)的模块。我们讨论了功能网络应具备的统计特性,并引入了网络一致性的概念,实际的协同基因功能网络应满足该概念,并在我们提出的通路发现方法中直接使用该概念。除了最简单的功能网络外,我们的方法在所有情况下都具有卓越的性能。