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Figure 2 | BMC Genomics

Figure 2

From: Transcriptional response to cardiac injury in the zebrafish: systematic identification of genes with highly concordant activity across in vivo models

Figure 2

Computational 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.

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