Constructing gene regulatory networks from expression data through functional module inference

Documentation for package ‘GNET2’ version 1.9.0

build_module	Fit a regression tree.
build_moduleR	Build regression tree.
build_moduleR_heuristic	Build regression tree with splits are detemined by K-means heuristicly.
build_split_table	Build split table by K-means heuristicly.
calc_likelihood_score	Calculate Gaussian Likelihood score.
extract_edges	Extract the network from the gnet result
get_correlation_list	Calculate correlation within each group.
gnet	Run GNET2
kneepointDetection	Knee point detection.
plot_gene_group	Plot a module
plot_group_correlation	Plot the correlation of each group
plot_tree	Plot the regression tree.
save_gnet	Save the GNET2 results
similarity_score	Compute the similarity from a predefined condition group