Figure 11

plot of connectivity scores in increasing order for WGCNA weights To derive gene labels directly from the measured Affymetrix data rather than from the literature, we aim to identify co-varying genes with high connectivity in the regulatory network. The plot shows the connectivity of Affymetrix probes within a cluster enriched for eye development computed by WGCNA. Rank index refers to Affymetrix probes. The associated most highly connected genes according to WGCNA are Cdh4, Dll1, Tox, Onecut2, Dcc, Epha5, Cadps.