Fig. 8
From: Network-based cancer genomic data integration for pattern discovery
A framework based on SNSVD method for identifying differentially co-expressed miRNA-gene modules on the BRCA data. A Calculating two miRNA-gene correlation matrices X1 and X2 using the Pearson correlation method based on the four expression matrices A1,A2,B1 and B2 whose rows were centered and scaled. B We first obtain the differential correlation matrix X by using X=X1−X2. Then, SNSVD is used to identify top ten differentially co-expressed miRNA-gene modules by integrating the differentially co-expressed matrix X and a PPI network