title: How to visually interpret biological data using networks.
abstract: Networks in biology can appear complex and difficult to decipher. We illustrate how to interpret biological networks with the help of frequently used visualization and analysis patterns.
authors.affiliation: Terrence Donnelly Centre for Cellular and Biomolecular Research and Banting and Best Department of Medical Research, University of Toronto, Toronto, Ontario, Canada.
authors.forename: Daniele
authors.initials: D
authors.lastname: Merico
authors.forename: David
authors.initials: D
authors.lastname: Gfeller
authors.forename: Gary D
authors.initials: GD
authors.lastname: Bader
mesh_terms: D003627:Data Interpretation, Statistical; D053263:Gene Regulatory Networks; D007255:Information Services; D053858:Metabolic Networks and Pathways; D008954:Models, Biological