Figure 2From: Transcriptional response to cardiac injury in the zebrafish: systematic identification of genes with highly concordant activity across in vivo modelsComputational models generated from public data. Different approaches highlight genes and associations with potential influential roles in response to injury. A. Top network modules identified with the ClusterONE algorithm [37]. Network nodes shown as rectangles: genes with exclusive membership in the modules shown, diamonds: genes with multiple module membership. Edges represent co-expression associations. B. Top candidate regulatory circuit inferred with the RegNet algorithm [38]. Edges represent gene co-expression association, with arrows defining the direction of the association between ptgis and the other genes according to linear regression models. The latter are shown for each gene-gene association. C. Snapshot of network module identified with the WGCNA algorithm, which contains genes involved in A and B, including ptgis (higher resolution image in Additional file 2). D. List of genes with significant concordant expression values between our model derivation dataset [29] and a dataset obtained from an independent study based on amputation model [40]. Between-dataset correlation values are shown.Back to article page