For each class, list every pair of connected nodes.
A list of pXp matrices, each an estimated sparse inverse covariance matrix. (For example, the result of FGL or GGL.)
edges, a K-length list, each element of the list an igraph.es object detailing all pairs of connected nodes in the class.
Patrick Danaher, Pei Wang and Daniela Witten (2011). The joint graphical lasso for inverse covariance estimation across multiple classes. http://arxiv.org/abs/1111.0324
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