Gene interdependence in microarray data analysis

DNA微阵列可以定量生物体中基因的转录本（mRNA），并识别两种条件之间的调节基因，从而报告分子机制的改变。 这项技术自问世以来一直受到大量研究，最近，关于适当分析管道的关键特征正在形成共识。 微阵列数据经常被忽视的一个方面是基因相互依赖性对所使用的统计方法的影响。 由于细胞的完整性（通过稳态和有序分化）依赖于数千个基因表达的紧密协调，因此应该预期它们的mRNA浓度的变化是高度相关的。

DNA microarrays allows to quantify the transcripts of genes (mRNAs) in an organism and to identify the modulated genes between two conditions, which reports the modification of molecular mechanisms. This technology has been heavily investigated since its inception and, recently, consensus is emerging regarding key features of an appropriate analytic pipeline. One aspect of microarray data that is frequently overlooked is the impact of gene interdependency on the statistical methodologies used. Since the integrity of the cell (through homeostasis and ordered differentiation) is dependent on a tight coordination of the expression of thousands of genes, it should be expected that variations in the concentration of their mRNA are highly correlated.