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. 2016 Dec 13;17(Suppl 16):493. doi: 10.1186/s12859-016-1308-y

Fig. 1.

Fig. 1

Overview of the Spectral Consensus Strategy (SCS). The SCS method unfolds in three parts. a The SCS-spectral phase identifies sets of path-related variables based on the magnitude of the graph Laplacian eigenvector elements. b The SCS-learn phase performs multiple parallel local reconstructions using different learning methods. c The SCS-consensus phase provides a consensus network built on the individual outcomes from the SCS-learn step