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Detecting interaction networks in the human microbiome with conditional Granger causality

Table 2

Characteristics of body sites and model.

Each Genus in a body site was predicted by a sum of its own lags as well as that of all other Genus. A separate model was built to predict each Genus by itself (endogeneous variable) and all the other Genus (exogeneous variables). Each Genus in a body site was therefore provided with the same set of predictors but the final model retained different set of predictors (Genus and lags).

Table 2

doi: https://doi.org/10.1371/journal.pcbi.1007037.t002