All functions |
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Convert network graphs to edge tables as tibbles/data.frames. |
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Classification options for direct, ambigious, and no effect. |
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Compute model estimates between an external (exposure or outcome) variable and a network. |
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Create an estimate of the metabolic network as an undirected graph. |
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Standardize the metabolic variables. |
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Simulated dataset with an underlying Directed Graph structure for the metabolites. |