Learning Latent Variable Gaussian Graphical Model for Biomolecular Network with Low Sample Complexity

Figure 5

Gene regulatory networks occurring during the progression of human lung cancers. The network reconstructed in confidence (the edges emerge at least times) under times random permutations. The normal stage (a) and the cancer stage (b). Changes about edges between normal stage and cancer stage (c). The parameters are , , , , and . The regularization parameters are manually chosen to induce high sparsity for better visualization and highlighting the dominating edges.

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