# Constructing gene regulatory networks from expression data through functional module inference

## Documentation for package ‘GNET2’ version 1.12.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

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