Get network neighbors of a node
For each class, returns the names of the nodes connected to a given node.
net.neighbors(theta, index)
theta |
A list of pXp matrices, each an estimated sparse inverse covariance matrix. (For example, the result of FGL or GGL.) |
index |
The row number of the node to be investigated. |
neighbors, a list of length K, each element of which is a vector of the row names of the nodes neighboring the node of interest.
Patrick Danaher
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
## load an example dataset with K=two classes, p=200 features, and n=100 samples per class: data(example.data) str(example.data) ## run fgl: fgl.results = JGL(Y=example.data,penalty="fused",lambda1=.25,lambda2=.1,return.whole.theta=TRUE) ## get neighbors of gene 195: net.neighbors(fgl.results$theta,index=195)
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