Fig. 1
From: Integration of multiple networks and pathways identifies cancer driver genes in pan-cancer analysis
The computational approach. The first step involves a network N (e.g. physical interaction) of size m and for each gene, i in N the algorithm calculates its degree centrality, DC (di N ). The second step involves a list of functional pathways (e.g. pathway P) and for each gene i, the DC (di p ) is calculated using the information on interacting genes from N. For the assumption of equal probability for existing edges between nodes, the algorithm calculates the expected DC of gene i in the pathway P. If the DC observed for the gene i (di p ) is higher than expected (di p_expected ), i could be a potential driver in the pathway P