Network Analysis of Breast Cancer Progression and Reversal Using a Tree-Evolving Network Algorithm
Figure 2
An example demonstrating the difference between a Markov network and a correlation network.
(A) A true network, in which R is the regulator of A, B, and C. (B) A clique graph produced by a correlation network. Since all the genes in (A) are correlated with one another, the correlation network cannot distinguish between indirect and direct relationships and thus connects all the nodes. (C) A correct graph recovered by a Markov network. The Markov network recovers true relationship of the nodes because it uses conditional independence to determine the presence of an edge.