This analysis is provided through the
R-language integration into Perseus and therefore requires
R as well as the
WGCNA package to be installed. Visit WGCNA page for more information and installation instructions.
Co-expression clustering is covered by the official WGCNA tutorials.
The co-expression network is created using the defined correlation function. The determined power is applied to the network (see Soft-threshold for more info). Topological overlap distance is used to create the hierarchical clustering dendrogram. The co-expression modules are determined using the dynamic tree-cut method. For each module, a module eigengene is reported, with its name corresponding to the color of the cluster.