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

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Documentation for package ‘GmicR’ version 1.1.6

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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