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Microbial correlation networks were generated using ReBoot method (see Methods).
From Table 1, we can see that there is some difference in the topological parameters among the spring, summer, fall, and winter seasonal microbial correlation networks.
Compared with random networks, four seasonal microbial correlation networks have bigger average clustering coefficient, average power law degree, and modularity, which indicate that the four seasonal microbial associate networks have some characters of complex network.
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A Tutorial on Regularized Partial Correlation Networks.
But the correlation networks did not.
Correlation networks.
In the OnlyTr1 and Tr1&Tr2 correlation networks, the genes associated with the most significant GO terms are mostly (70 and 80%%) negatively correlated with the microbial groups.
Correlation networks were determined using Pearson's correlation (P < 0.01).
95 Thus the analysis of correlation networks merges into other, non-network analyses of correlation matrices.
But in the OnlyTr2 correlation network, these genes are mostly (60%%) positively correlated with the microbial groups.
Langfelder, P. & Horvath, S. WGCNA: an R package for weighted correlation network analysis.
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