Learning gene networks under SNP perturbations using eQTL datasets.
The standard approach for identifying gene networks is based on experimental perturbations of gene regulatory systems such as gene knock-out experiments, followed by a genome-wide profiling of differential gene expressions.However, this approach is significantly limited in that it is not possible to perturb more than one or two genes simultaneously