OneNet—One network to rule them all: Consensus network inference from microbiome data
Fig 5
Consensus and single-method networks inferred on the liver cirrhosis dataset, followed by CORE-clustering algorithm to identify the microbial guilds.
All graphs share the same layout, computed on the OneNet-mean network, to ease comparisons. Nodes are colored by cluster, with red always used for the cirrhotic guild in all graphs where it is (at least partially) recovered and species prevalent in the oral cavity are represented by a triangle. Methods are grouped based on the underlying inference technique (tree aggregation, graphical lasso, neighborhood selection).