CBNA: A control theory based method for identifying coding and non-coding cancer drivers
Fig 4
Characterising the controllability of the miRNA-TF-mRNA network.
(A) Identification of critical, ordinary, and redundant nodes in the network. (B) Average in-degree and accumulative in-degree distribution (i.e. the in-degree i with the probability p means that the probability to pick a node which has in-degree larger than or equal to i is p) for three different node types. (C) Average out-degree and accumulative out-degree distribution for three different node types.