Investigating perturbed pathway modules from gene expression data via structural equation models

摘要: Background It is currently accepted that the perturbation of complex intracellular networks, rather than dysregulation a single gene, basis for phenotypical diversity. High-throughput gene expression data allow to investigate changes in profiles among different conditions. Recently, many efforts have been made individuate which biological pathways are perturbed, given list differentially expressed genes (DEGs). In order understand these mechanisms, it necessary unveil variation relation each other, considering phenotypes. this paper, we illustrate pipeline, based on Structural Equation Modeling (SEM) allowed pathway modules, not only deregulated but also connections between perturbed ones.