Covariance-based analyses of biological pathways
提出一种检验生物通路基因协方差结构变化的方法，通过比较特征值来捕捉通路行为的调控与非调控变异，作为传统均值分析的补充。
The use of high-throughput data to study the changing behavior of biological pathways has focused mainly on examining the changes in the means of pathway genes. In this paper, we propose instead to test for changes in the co-regulated and unregulated variability of pathway genes. We assume that the eigenvalues of previously defined pathways capture biologically relevant quantities, and we develop a test for biologically meaningful changes in the eigenvalues between classes. This test reflects important and often ignored aspects of pathway behavior and provides a useful complement to traditional pathway analyses.