# Combines WGCNA and xCell readouts with bayesian network learrning to generate a Gene-Module Immune-Cell network (GMIC)

## Documentation for package ‘GmicR’ version 1.25.0

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

## Help Pages

Auto_WGCNA | Carries out WGCNA with default settings or custom settings
Batch_Net | Generates a subgraph from query nodes
bn_tabu_gen | Uses tabu search algorithm to learn the structure of discretized data.
Data_Prep | Discretizes biological assay data in preparation for bayensian network learning
Gmic_viz | Visualized network
GO_Module_NameR | GO enrichment for module names
GSEAGO_Builder | GO enrichment for module names
InverseARCs | Identifies arcs between nodes with inverse relationships
Query_Prep | Query Prep
xCell_loader | Scales and centers data by sample/row in preparation for discretization