Gene interdependence in microarray data analysis

DNA微阵列可以量化生物体中基因的转录本（mrna），并识别两种情况下的调节基因，这报告了分子机制的改变。这项技术从一开始就得到了大量的研究，最近，关于适当的分析管道的关键特征的共识正在出现。微阵列数据经常被忽视的一个方面是基因相互依赖对所使用的统计方法的影响。由于细胞的完整性（通过内稳态和有序分化）依赖于数千个基因表达的紧密协调，因此可以预期，它们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.