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Distributions of pairwise correlation coefficients from cooccurrence models computed from temporal data (fecal) and spatial data (biopsy samples; means.

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Presentation on theme: "Distributions of pairwise correlation coefficients from cooccurrence models computed from temporal data (fecal) and spatial data (biopsy samples; means."— Presentation transcript:

1 Distributions of pairwise correlation coefficients from cooccurrence models computed from temporal data (fecal) and spatial data (biopsy samples; means of three replicates). Distributions of pairwise correlation coefficients from cooccurrence models computed from temporal data (fecal) and spatial data (biopsy samples; means of three replicates). For each pair of panels, correlation coefficients were partitioned into significant (A, C, E, and G) or nonsignificant (B, D, F, and H) based on the significance values from the full set of time series models. (A and B) Temporal Spearman correlations; (C and D) temporal SparCC correlations; (E and F) spatial Spearman correlations; (G and H) spatial SparCC correlations. The vertical red lines in panels E to H represent the distribution means. Note that panels E and G have a significant positive skew (means of 0.22 and 0.16, respectively; P << for both tests), indicating correspondence between the spatial and temporal correlation patterns. Eric J. de Muinck et al. mSystems 2017; doi: /mSystems


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