Fig. 1
From: Revisiting the use of graph centrality models in biological pathway analysis
Linear regression fit of the quantile-normalized centrality scores (Eq. 20) and the percentage human pathway genes that are cancer-related (Eq. 21). The Source/Sink extension of the centrality models show higher slope and adjusted coefficient of determination (Adjusted r-squared) in comparison to the standard variations of the centrality models (Table 1)
