TGLG (R Code, Examples, Reference)
Selecting informative nodes over
large-scale networks becomes increasingly
important in many research areas. This package
implements a novel prior model for Bayesian network
marker selection in the generalized linear model (GLM)
framework: the Thresholded Graph Laplacian Gaussian
(TGLG) prior, which adopts the graph Laplacian matrix
to characterize the conditional dependence between
neighboring markers accounting for the global network
structure.