RNA-Seq-Based Breast Cancer Subtypes Classification Using Machine Learning Approaches

Figure 2

Flowchart to discover the interaction networks structures for control and experiment groups. (a) Construct the gene coexpression networks by PCC. The bold edges denote the higher PCC, and the thin edges represent the lower PCC. (b) Conduct the pruning operation and remove the edges whose PCC values are less than the cutoff. (c) The symmetric matrix forms compared with step (b). (d) Remove the shared network structures between control and experiment groups, and just focus on the specific structures of the upper triangular matrix from control and experiment groups owing to the symmetry.