iPACOSE : an iterative algorithm for the estimation of gene regulation networks

In the context of Gaussian Graphical Models (GGMs) with highdimensional small sample data, we present a simple procedure to estimate partial correlations under the constraint that some of them are strictly zero. This method can also be extended to covariance selection. If the goal is to estimate a GGM, our new procedure can be applied to re-estimate the… CONTINUE READING