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DrDimont (version 0.1.4)

combined_graphs_example: Combined graphs

Description

Exemplary intermediate pipeline output: Combined graphs example data built by generate_combined_graphs. Combined graphs were built using the individual_graphs_example and:

Usage

combined_graphs_example

Arguments

Format

A named list with 2 items.

graphs

A named list with two groups.

annotations

A data frame of mappings of assigned node IDs to the user-provided component identifiers for all nodes in `groupA` and `groupB` together and all layers

Details

inter_layer_connections = list( make_connection(from='mrna', to='protein', connect_on='gene_name', weight=1), make_connection(from='protein', to='phosphosite', connect_on='gene_name', weight=1), make_connection(from='protein', to='metabolite', connect_on=metabolite_protein_interactions, weight='combined_score'))

A subset of the original data by Krug et al. (2020) and randomly sampled metabolite data from layers_example was used to generate the correlation matrices, individual graphs and combined graphs. They were created from data stratified by estrogen receptor (ER) status: `groupA` contains data of ER+ patients and `groupB` of ER- patients.