Background#R##N#Reverse-engineering gene regulatory networks from expression data is difficult, especially without temporal measurements or interventional experiments. In particular, the causal direction of an edge is generally not statistically identifiable, i.e., cannot be inferred as a statistical parameter, even from an unlimited amount of non-time series observational mRNA expression data. Some additional evidence is required and high-throughput methylation data can viewed as a natural multifactorial gene perturbation experiment.
['David M. Simcha', 'Laurent Younes', 'Martin J. Aryee', 'Donald Geman']
Identification of direction in gene networks from expression and methylation