Fig. 2
From: Multiplex methods provide effective integration of multi-omic data in genome-scale models
Visual schema of the multiplex fusion algorithm. The bottom layer in panels (a-c) represents the transcriptomic information, while the top layer represent the fluxomic information. Each circle represents a feature (parameter) of the system, which we consider as an environmental condition. Black connectors represent parameter relationships; red links represent the mapping from gene expression to phenotype through the metabolic map Ļ, and also convey the information related to the message passing method for the SNF approach. The four panels represent: a ideal scenario; b more likely real scenario; c fusion proximity; d fusion and reduction of parameter complexity, performed through measures on single-layer networks (e.g. clustering or community detection)