Figure 1
From: Identifying set-wise differential co-expression in gene expression microarray data
Overview of the dCoxS algorithm. Gene expression profiles of two gene sets are on the upper panel. In condition A, expression profiles of gene sets 1 and 2 are very similar. The similarity is reduced in condition B, and co-varies in a reverse way in condition C. The dCoxS quantifies the similarities and tests the significance of the change in the similarities across conditions. First, the sample-wise Renyi relative entropy matrix is obtained for each gene set. Then, the correlation coefficient of the upper-diagonal elements of the matrices, which represents the IS, is calculated for each condition. Diagonal heat maps in the middle represent the upper-diagonal elements of the sample-wise Renyi relative entropy matrices. The heat maps are transformed to the scatter plots in the lower part, and the fitted lines of the plots represent the ISs.