Gaussian graphical modeling reconstructs pathway reactions from high-throughput metabolomics data.

For the original GGM we obtain a modularity of Q = 0.488, and the random networks yield Q = 0.118 ± 0.016, resulting in a highly significant z -score of z = 23.49.

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