Computational approach to modeling microbiome landscapes associated with chronic human disease progression
Fig 5
Microbial interaction networks inferred by the gLV method applied to pseudo-time series data recovered from four identified CD progression paths.
Each node represents an OTU, its size is proportional to the number of edges directed out of the node (i.e., out-degree), and its face color represents the sign of the correlation of the relative abundance of the OTU with a progression path (red: positive, blue: negative). Only the nodes with out-degrees larger than 10 were annotated. Since compositionality was not considered in the analysis, artificial links might arise. See S9 Fig for detailed annotations.