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On the Society of Genome: Social Affiliation Network Analysis of Microarray Data

机译:关于基因组学会:微阵列数据的社会关系网络分析

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To investigate the structure of the genomic interaction network built from yeast gene-expression compendium dataset of hundreds of systematic perturbations, social affiliation network analysis methodologies were applied through quantifying various density, closeness and centrality measures and exploring core-periphery structures. Genes affected by a larger number of perturbations were found to be involved in responses to various environmental challenges. Deletion of essential genes was suggested to cause larger number of genes to be significantly up or down regulated. We explored the network structure made up of several sub-networks using core-periphery models to find ancient pathways. Glycolysis and TCA cycle have relatively core positions in the energy-related processes of yeast.
机译:为了研究由数百个系统扰动的酵母基因表达概要数据集的基因组相互作用网络的结构,通过量化各种密度,近距离和中心测量和探索核心周边结构来应用社会附属网络分析方法。发现受更多数量扰动影响的基因涉及对各种环境挑战的反应。建议缺失必要基因,导致更多数量的基因显着上调或下降。我们探索了使用核心外围模型的多个子网组成的网络结构,以找到古老的途径。糖酵解和TCA周期在酵母的能量相关过程中具有相对核心的位置。

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