Figure 3From: A systems biology approach using metabolomic data reveals genes and pathways interacting to modulate divergent growth in cattleGene networks for growth at the onset of puberty. Each node in the networks represents a gene with at least one significant partial correlation of additive effects to another gene in the network as identified by Partial correlation information theory (PCIT) from the Association weight matrix (AWM). Edges represent significant interactions between genes. Node colors provide gradual information about the number of connections of a specific node in the respective network. The color scale ranges from green (few connections) over yellow (some connections) to red (many connections). (A) Growth at onset of puberty network. (B) NCAPG sub-network established from the full growth network after identifying the densest subcluster using MCODE software. (C) GDF8 sub-network established analogous to the NCAPG sub-network.Back to article page