Additional file 2: of DGCA: A comprehensive R package for Differential Gene Correlation Analysis

Full table for differential correlation output from the p53 mutation study. The output of running DGCA on the p53 pathway gene set in the breast cancer RNA-seq samples, comparing correlations of these genes with TP53 in non-mutated samples to correlations in p53-mutated samples, using the option to consider only positive correlations in calculate differential correlation between conditions. The “Classes” column indicates the correlation class of each of the genes where, e.g., “+/0” indicates a significant positive correlation in the non-mutated samples and no significant correlation in the p53-mutated samples. Note that the significance for the correlations within each condition is not adjusted for multiple comparisons. 10,000 permutation samples were generated in order to estimate empirical p-values, using a pooled reference distribution approach, from which q-values were calculated. WT = Wildtype, Mut. = Non-silent p53 mutation. (TSV 46 kb)