Additional file 2: of DGCA: A comprehensive R package for Differential Gene Correlation Analysis
Year: 2016
Type: dataset
Abstract: 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)
Source: Figshare
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W4394533322