gmcoda: Graphical model for multiple compositional vectors in microbiome studies.

For example, Pearson correlations of components have a negative trend of correlations between components.

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We find that the proportions of identified edges for gmcoda are larger than other methods in all four non-zeros partial correlation coefficients and there is an obvious trend that the stronger the strengths of the underlying true edges, the more likely detected by gmcoda.

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