Skip to main content
Fig. 1 | BMC Bioinformatics

Fig. 1

From: Diffany: an ontology-driven framework to infer, visualise and analyse differential molecular networks

Fig. 1

Differential edges. Artificial example of the inference of differential edges (c) from a reference network (a) and a condition-specific network (b). Edge thickness refers to the weight of an edge. In Subfigure (c), the top connection (A-B) shows a negative differential edge (‘decreases_regulation’) occurring because of a switched polarity from positive (green) to negative (red) regulation, while the second and third links (M-N and X-Y) show a negative differential edge because the original positive edge was decreased or even entirely removed in the condition-specific network. The thickness of the differential edge represents the difference in weight between the reference and condition edge. Column (d) depicts the corresponding ‘consensus’ edges: both input networks are found to have a regulatory edge between nodes A and B and a positive regulation edge between M and N, but there is no consensus edge between X and Y

Back to article page