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CBNA: A control theory based method for identifying coding and non-coding cancer drivers

Fig 2

An illustration of CBNA.

(1) Building the network for a condition: (a) Prepare matched miRNA and TF/mRNA expression data, (b) Build miRNA-TF-mRNA network where nodes represent miRNAs/TFs/mRNAs and an edge between two nodes indicates there is a significant Pearson correlation between the expression of the two nodes, (c) Create the network by combining the miRNA-TF-mRNA network with the PPI network and other existing databases, and (2) Identifying coding and miRNA drivers: (a) Detect critical nodes, (b) Identify candidate cancer drivers.

Fig 2

doi: https://doi.org/10.1371/journal.pcbi.1007538.g002