Figure 3: Network inference and MRA flowchart.
From: Master regulators of FGFR2 signalling and breast cancer risk
Four independent gene expression data sets (breast cohort I and II, normal breast and T-ALL) were analysed in parallel with the ARACNe algorithm to derive TF-centric regulatory networks. Master regulators were identified by examining the overlap between the targets in each regulon in the network and the FGFR2 gene expression signatures using the MRA (a: gene expression data; b: filtered gene expression data; c: TN; d: DPI-filtered transcriptional network; MI, mutual information; DPI, data processing inequality).
